From 5e710cfa6395e8282da54435e68f5bf9611725de Mon Sep 17 00:00:00 2001 From: xiangyan93 Date: Fri, 3 Jan 2025 19:06:45 -0500 Subject: [PATCH] README.MD update. --- README.md | 7 +- .../1.tutorials/1.first_introduction.ipynb | 330 -- .../1.tutorials/2.pre-computed_kernel.ipynb | 163 - .../1.tutorials/3.available_models.ipynb | 564 -- .../4.evaluate_model_performance.ipynb | 179 - .../hyperparameter_optimization.ipynb | 304 - .../3.hybrid_kernel/1.RDKit_features.ipynb | 175 - .../2.temperature_dependent_property.ipynb | 178 - .../freesolv_hyperparameters/alpha | 1 - .../features_hyperparameters.json | 12 - .../hyperparameters_0.json | 434 -- notebooks/4.interpretation/interpret.ipynb | 244 - notebooks/datasets/bbbp.csv | 2040 ------- notebooks/datasets/freesolv.csv | 643 --- notebooks/datasets/slab-sim.csv | 5006 ----------------- 15 files changed, 2 insertions(+), 10278 deletions(-) delete mode 100644 notebooks/1.tutorials/1.first_introduction.ipynb delete mode 100644 notebooks/1.tutorials/2.pre-computed_kernel.ipynb delete mode 100644 notebooks/1.tutorials/3.available_models.ipynb delete mode 100644 notebooks/1.tutorials/4.evaluate_model_performance.ipynb delete mode 100644 notebooks/2.hyperparameter_optimization/hyperparameter_optimization.ipynb delete mode 100644 notebooks/3.hybrid_kernel/1.RDKit_features.ipynb delete mode 100644 notebooks/3.hybrid_kernel/2.temperature_dependent_property.ipynb delete mode 100644 notebooks/3.hybrid_kernel/freesolv_hyperparameters/alpha delete mode 100644 notebooks/3.hybrid_kernel/freesolv_hyperparameters/features_hyperparameters.json delete mode 100644 notebooks/3.hybrid_kernel/freesolv_hyperparameters/hyperparameters_0.json delete mode 100644 notebooks/4.interpretation/interpret.ipynb delete mode 100644 notebooks/datasets/bbbp.csv delete mode 100644 notebooks/datasets/freesolv.csv delete mode 100644 notebooks/datasets/slab-sim.csv diff --git a/README.md b/README.md index 9264c66..d368d4f 100644 --- a/README.md +++ b/README.md @@ -3,15 +3,12 @@ Python Package using marginalized graph kernel (MGK) to predict molecular proper ## Installation Suggested Package Versions: -Python==3.10, GCC==11.2, CUDA==11.7. +Python>=3.9, GCC==11.2, CUDA==11.7. ``` -pip install numpy==1.22.3 git+https://gitlab.com/Xiangyan93/graphdot.git@feature/xy git+https://github.com/bp-kelley/descriptastorus +pip install git+https://gitlab.com/Xiangyan93/graphdot.git@feature/xy pip install mgktools ``` -## Usage -See [notebooks](https://github.com/Xiangyan93/mgktools/tree/main/notebooks) - ## Hyperparameters [hyperparameters](https://github.com/Xiangyan93/mgktools/tree/main/mgktools/hyperparameters) contains the JSON files that define the hyperparameters for MGK. diff --git a/notebooks/1.tutorials/1.first_introduction.ipynb b/notebooks/1.tutorials/1.first_introduction.ipynb deleted file mode 100644 index 3f4713d..0000000 --- a/notebooks/1.tutorials/1.first_introduction.ipynb +++ /dev/null @@ -1,330 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "57759a64", - "metadata": {}, - "source": [ - "# Read input data set." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "01800558", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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smilesfreesolv
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.........
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642 rows × 2 columns

\n", - "
" - ], - "text/plain": [ - " smiles freesolv\n", - "0 CN(C)C(=O)c1ccc(cc1)OC -11.01\n", - "1 CS(=O)(=O)Cl -4.87\n", - "2 CC(C)C=C 1.83\n", - "3 CCc1cnccn1 -5.45\n", - "4 CCCCCCCO -4.21\n", - ".. ... ...\n", - "637 CCCCCCCC(=O)OC -2.04\n", - "638 C1CCNC1 -5.48\n", - "639 c1cc(ccc1C=O)O -8.83\n", - "640 CCCCCCCCl 0.29\n", - "641 C1COCCO1 -5.06\n", - "\n", - "[642 rows x 2 columns]" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "df = pd.read_csv('../datasets/freesolv.csv')\n", - "df" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "e8a5a886", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[Parallel(n_jobs=1)]: Done 49 tasks | elapsed: 0.4s\n", - "[Parallel(n_jobs=1)]: Done 199 tasks | elapsed: 1.8s\n", - "[Parallel(n_jobs=1)]: Done 449 tasks | elapsed: 4.1s\n" - ] - } - ], - "source": [ - "from mgktools.data.data import Dataset\n", - "dataset = Dataset.from_df(\n", - " df,\n", - " pure_columns = ['smiles'],\n", - " target_columns = ['freesolv'],\n", - " n_jobs = 1\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "18361d8a", - "metadata": {}, - "outputs": [], - "source": [ - "# Save the dataset as dataset.pkl.\n", - "import os\n", - "if not os.path.exists('freesolv'):\n", - " os.mkdir('freesolv')\n", - "dataset.save(path='freesolv', filename='dataset.pkl', overwrite=True)" - ] - }, - { - "cell_type": "markdown", - "id": "c266c096", - "metadata": {}, - "source": [ - "# Set marginalized graph kernel(MGK)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "5e1ee7e7", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from mgktools.kernels.utils import get_kernel_config\n", - "from mgktools.hyperparameters import product_msnorm\n", - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'graph',\n", - " # arguments for marginalized graph kernel\n", - " mgk_hyperparameters_files = [product_msnorm],\n", - ")\n", - "kernel = kernel_config.kernel\n", - "kernel" - ] - }, - { - "cell_type": "markdown", - "id": "c060424e", - "metadata": {}, - "source": [ - "# Compute MGK matrix" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "8274e99d", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[0.99999994, 0.28764892, 0.41278768, ..., 0.8320551 , 0.5260731 ,\n", - " 0.51764214],\n", - " [0.28764892, 0.99999994, 0.24584691, ..., 0.23574728, 0.20222193,\n", - " 0.17237186],\n", - " [0.41278768, 0.24584691, 1. , ..., 0.36417744, 0.42250785,\n", - " 0.24472898],\n", - " ...,\n", - " [0.8320551 , 0.23574728, 0.36417747, ..., 0.99999994, 0.45911354,\n", - " 0.5304952 ],\n", - " [0.52607304, 0.20222193, 0.42250785, ..., 0.4591135 , 0.99999994,\n", - " 0.37867483],\n", - " [0.5176422 , 0.17237186, 0.24472897, ..., 0.5304953 , 0.37867483,\n", - " 1. ]], dtype=float32)" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dataset.graph_kernel_type = 'graph'\n", - "K = kernel(dataset.X)\n", - "K" - ] - }, - { - "cell_type": "markdown", - "id": "b63081f2", - "metadata": {}, - "source": [ - "# Gaussian process regression (GPR)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "c537e64c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from mgktools.data import dataset_split\n", - "train, test = dataset_split(dataset, \n", - " split_type='random',\n", - " sizes=[0.8, 0.2])\n", - "from mgktools.models.regression.GPRgraphdot.gpr import GPR\n", - "gpr = GPR(kernel=kernel,\n", - " optimizer=None,\n", - " alpha=0.01,\n", - " normalize_y=True)\n", - "gpr.fit(train.X, train.y)\n", - "y_pred = gpr.predict(test.X)\n", - "import matplotlib.pyplot as plt\n", - "plt.scatter(test.y, y_pred)\n", - "plt.plot([-25, 5], [-25, 5])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "mgktools", - "language": "python", - "name": "mgktools" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/1.tutorials/2.pre-computed_kernel.ipynb b/notebooks/1.tutorials/2.pre-computed_kernel.ipynb deleted file mode 100644 index 4c9440d..0000000 --- a/notebooks/1.tutorials/2.pre-computed_kernel.ipynb +++ /dev/null @@ -1,163 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "1e9acc4f", - "metadata": {}, - "source": [ - "In practice, a kernel matrix may be called many times in program, so it is extremely efficient to compute the marginalized graph kernel(MGK) only once and saved, and reuse the saved kernel matrix in the following calculations." - ] - }, - { - "cell_type": "markdown", - "id": "567c9597", - "metadata": {}, - "source": [ - "# Load input data set." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "964a1a7c", - "metadata": {}, - "outputs": [], - "source": [ - "from mgktools.data.data import Dataset\n", - "dataset = Dataset.load(path='freesolv', filename='dataset.pkl')" - ] - }, - { - "cell_type": "markdown", - "id": "de5b9eab", - "metadata": {}, - "source": [ - "# Set marginalized graph kernel(MGK)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "32c2a8a4", - "metadata": {}, - "outputs": [], - "source": [ - "from mgktools.kernels.utils import get_kernel_config\n", - "from mgktools.hyperparameters import product_msnorm\n", - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'graph',\n", - " # arguments for marginalized graph kernel\n", - " mgk_hyperparameters_files = [product_msnorm],\n", - ")\n", - "kernel = kernel_config.kernel" - ] - }, - { - "cell_type": "markdown", - "id": "254d1807", - "metadata": {}, - "source": [ - "# Compute and save the MGK matrix" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "2c3dbb06", - "metadata": {}, - "outputs": [], - "source": [ - "from mgktools.kernels.PreComputed import calc_precomputed_kernel_config\n", - "dataset.graph_kernel_type = 'graph'\n", - "kernel_config = calc_precomputed_kernel_config(kernel_config=kernel_config,\n", - " dataset=dataset)\n", - "import os, pickle\n", - "kernel_pkl = os.path.join('freesolv', 'kernel.pkl')\n", - "pickle.dump(kernel_config, open(kernel_pkl, 'wb'), protocol=4)" - ] - }, - { - "cell_type": "markdown", - "id": "412c076b", - "metadata": {}, - "source": [ - "# Gaussian process regression (GPR)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "5d79ee6e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'pre-computed',\n", - " # arguments for pre-computed kernel\n", - " kernel_pkl = 'freesolv/kernel.pkl'\n", - ")\n", - "kernel = kernel_config.kernel\n", - "\n", - "dataset.graph_kernel_type = 'pre-computed'\n", - "from mgktools.data import dataset_split\n", - "train, test = dataset_split(dataset, \n", - " split_type='random',\n", - " sizes=[0.8, 0.2])\n", - "from mgktools.models.regression.GPRgraphdot.gpr import GPR\n", - "gpr = GPR(kernel=kernel,\n", - " optimizer=None,\n", - " alpha=0.01,\n", - " normalize_y=True)\n", - "gpr.fit(train.X, train.y)\n", - "y_pred = gpr.predict(test.X)\n", - "import matplotlib.pyplot as plt\n", - "plt.scatter(test.y, y_pred)\n", - "plt.plot([-25, 5], [-25, 5])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "mgktools", - "language": "python", - "name": "mgktools" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/1.tutorials/3.available_models.ipynb b/notebooks/1.tutorials/3.available_models.ipynb deleted file mode 100644 index 801a14a..0000000 --- a/notebooks/1.tutorials/3.available_models.ipynb +++ /dev/null @@ -1,564 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "95b734f0", - "metadata": {}, - "source": [ - "The available models are:\n", - "\n", - "regression: \n", - "\n", - "Gaussian process regression (GPR)\n", - "scalable GPs: subset of data (SoD), ensemble SoD, Nystrom approximation, Naive local experts(NLE).\n", - "support vector machine\n", - "\n", - "classifications:\n", - "Gaussian process classification (GPC)\n", - "support vector machine" - ] - }, - { - "cell_type": "markdown", - "id": "066b81f1", - "metadata": {}, - "source": [ - "# Regression" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "8285a795", - "metadata": {}, - "outputs": [], - "source": [ - "# Dataset.\n", - "from mgktools.data.data import Dataset\n", - "dataset = Dataset.load(path='freesolv', filename='dataset.pkl')\n", - "dataset.graph_kernel_type = 'pre-computed'\n", - "from mgktools.data import dataset_split\n", - "train, test = dataset_split(dataset,\n", - " split_type='random',\n", - " sizes=[0.8, 0.2])" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "4d5e96ca", - "metadata": {}, - "outputs": [], - "source": [ - "# Kernel\n", - "from mgktools.kernels.utils import get_kernel_config\n", - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'pre-computed',\n", - " kernel_pkl = 'freesolv/kernel.pkl'\n", - ")\n", - "kernel = kernel_config.kernel" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "5aac23fa", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Gaussian process regression\n", - "from mgktools.models.regression.GPRgraphdot import GPR\n", - "gpr = GPR(kernel=kernel,\n", - " optimizer=None,\n", - " alpha=0.01,\n", - " normalize_y=True)\n", - "gpr.fit(train.X, train.y)\n", - "y_pred = gpr.predict(test.X)\n", - "import matplotlib.pyplot as plt\n", - "plt.scatter(test.y, y_pred)\n", - "plt.plot([-25, 5], [-25, 5])" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "276d1be8", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/media/yanxiang/workspace/Github/mgktools/mgktools/models/regression/consensus.py:113: RuntimeWarning: Mean of empty slice.\n", - " return y.mean(axis=0), u.mean(axis=0)\n", - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n", - " ret = ret.dtype.type(ret / rcount)\n" - ] - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Subset of Data (SoD) Gaussian process regression\n", - "from mgktools.models.regression import ConsensusRegressor\n", - "sod = ConsensusRegressor(\n", - " gpr,\n", - " n_estimators=1,\n", - " n_sample_per_model=200,\n", - " n_jobs=1,\n", - " consensus_rule='mean'\n", - ")\n", - "sod.fit(train.X, train.y)\n", - "y_pred = sod.predict(test.X)\n", - "plt.scatter(test.y, y_pred)\n", - "plt.plot([-25, 5], [-25, 5])" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "1ecc5aff", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Ensemble SoD\n", - "from mgktools.models.regression import ConsensusRegressor\n", - "sod = ConsensusRegressor(\n", - " gpr,\n", - " n_estimators=2,\n", - " n_sample_per_model=200,\n", - " n_jobs=1,\n", - " consensus_rule='mean'\n", - ")\n", - "sod.fit(train.X, train.y)\n", - "y_pred = sod.predict(test.X)\n", - "plt.scatter(test.y, y_pred)\n", - "plt.plot([-25, 5], [-25, 5])" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "124f1588", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Nystrom approximation GPR.\n", - "from mgktools.models.regression.ScalableGPR import LRAGPR\n", - "model = LRAGPR(\n", - " kernel=kernel,\n", - " optimizer=None,\n", - " alpha=0.01,\n", - " normalize_y=True\n", - ")\n", - "core, _ = dataset_split(train, \n", - " split_type='random',\n", - " sizes=[0.5, 0.5])\n", - "model.fit(core.X, train.X, train.y)\n", - "y_pred = model.predict(test.X)\n", - "plt.scatter(test.y, y_pred)\n", - "plt.plot([-25, 5], [-25, 5])" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "5a2927c6", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[Parallel(n_jobs=1)]: Done 49 tasks | elapsed: 0.0s\n", - "[Parallel(n_jobs=1)]: Done 49 tasks | elapsed: 0.0s\n" - ] - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Naive Local Experts. GPR\n", - "from mgktools.models.regression.ScalableGPR import NLEGPR\n", - "model = NLEGPR(\n", - " kernel=kernel,\n", - " alpha=0.01,\n", - " n_local=5,\n", - " n_jobs=1, # must be 1 for mgk. could be larger for pre-computed kernel.\n", - ")\n", - "model.fit(train.X, train.y)\n", - "y_pred = model.predict(test.X)\n", - "y_pred, y_std = model.predict(test.X, return_std=True)\n", - "plt.scatter(test.y, y_pred)\n", - "plt.plot([-25, 5], [-25, 5])" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "b5c60d3d", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/sklearn/svm/_base.py:292: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", - " return column_or_1d(y, warn=True).astype(np.float64, copy=False)\n" - ] - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# support vector machine regression\n", - "from mgktools.models.regression import SVR\n", - "svr = SVR(\n", - " kernel=kernel,\n", - " C=10.0,\n", - ")\n", - "svr.fit(train.X, train.y)\n", - "y_pred = svr.predict(test.X)\n", - "plt.scatter(test.y, y_pred)\n", - "plt.plot([-25, 5], [-25, 5])" - ] - }, - { - "cell_type": "markdown", - "id": "60dc0f96", - "metadata": {}, - "source": [ - "# Classification" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "bf6ef22d", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[Parallel(n_jobs=8)]: Using backend LokyBackend with 8 concurrent workers.\n", - "[Parallel(n_jobs=8)]: Done 34 tasks | elapsed: 2.3s\n", - "[16:20:50] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:50] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:51] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:51] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:51] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:51] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:51] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:53] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:53] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:53] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:53] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:54] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:54] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:55] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:56] WARNING: not removing hydrogen atom without neighbors\n", - "[Parallel(n_jobs=8)]: Done 864 tasks | elapsed: 9.0s\n", - "[16:20:57] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:58] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:58] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:58] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:59] WARNING: not removing hydrogen atom without neighbors\n", - "[16:20:59] WARNING: not removing hydrogen atom without neighbors\n", - "[16:21:00] WARNING: not removing hydrogen atom without neighbors\n", - "[16:21:00] WARNING: not removing hydrogen atom without neighbors\n", - "[16:21:00] WARNING: not removing hydrogen atom without neighbors\n", - "[16:21:00] WARNING: not removing hydrogen atom without neighbors\n", - "[16:21:01] WARNING: not removing hydrogen atom without neighbors\n", - "[16:21:01] WARNING: not removing hydrogen atom without neighbors\n", - "[16:21:01] WARNING: not removing hydrogen atom without neighbors\n", - "[16:21:02] WARNING: not removing hydrogen atom without neighbors\n", - "[16:21:02] WARNING: not removing hydrogen atom without neighbors\n", - "[16:21:03] WARNING: not removing hydrogen atom without neighbors\n", - 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" df,\n", - " pure_columns = ['smiles'],\n", - " target_columns = ['p_np'],\n", - " n_jobs = 8\n", - ")\n", - "import os\n", - "if not os.path.exists('bbbp'):\n", - " os.mkdir('bbbp')\n", - "dataset.save(path='bbbp', filename='dataset.pkl', overwrite=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "09b1c569", - "metadata": {}, - "outputs": [], - "source": [ - "# Kernel\n", - "from mgktools.kernels.utils import get_kernel_config\n", - "from mgktools.hyperparameters import product_msnorm\n", - "from mgktools.kernels.PreComputed import calc_precomputed_kernel_config\n", - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'graph',\n", - " # arguments for marginalized graph kernel\n", - " mgk_hyperparameters_files = [product_msnorm],\n", - ")\n", - "kernel = kernel_config.kernel\n", - "dataset.graph_kernel_type = 'graph'\n", - "kernel_config = calc_precomputed_kernel_config(kernel_config=kernel_config,\n", - " dataset=dataset)\n", - "import os, pickle\n", - "kernel_pkl = os.path.join('bbbp', 'kernel.pkl')\n", - "pickle.dump(kernel_config, open(kernel_pkl, 'wb'), protocol=4)\n", - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'pre-computed',\n", - " # arguments for pre-computed kernel\n", - " kernel_pkl = 'bbbp/kernel.pkl'\n", - ")\n", - "kernel = kernel_config.kernel" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "5ef30a0c", - "metadata": {}, - "outputs": [], - "source": [ - "dataset.graph_kernel_type = 'pre-computed'\n", - "from mgktools.data import dataset_split\n", - "train, test = dataset_split(dataset, \n", - " split_type='random',\n", - " sizes=[0.8, 0.2])" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "d725b867", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Prediction accuracy: 0.8476658476658476\n", - "Prediction auc: 0.662983114446529\n" - ] - } - ], - "source": [ - "# Gaussian process classification\n", - "from mgktools.models.classification import GPC\n", - "gpc = GPC(\n", - " kernel=kernel,\n", - " optimizer=None,\n", - " n_jobs=1\n", - ")\n", - "gpc.fit(train.X, train.y)\n", - "y_pred = gpc.predict(test.X)\n", - "from sklearn.metrics import accuracy_score, roc_auc_score\n", - "print(\"Prediction accuracy: \", accuracy_score(test.y, y_pred))\n", - "print(\"Prediction auc: \", roc_auc_score(test.y, y_pred))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "145211ec", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Prediction accuracy: 0.8918918918918919\n", - "Prediction auc: 0.7727392120075047\n" - ] - } - ], - "source": [ - "# Support vector machine classification\n", - "from mgktools.models.classification import SVC\n", - "svc = SVC(\n", - " kernel=kernel,\n", - " C=10,\n", - " probability=True\n", - ")\n", - "svc.fit(train.X, train.y)\n", - "y_pred = svc.predict(test.X)\n", - "from sklearn.metrics import accuracy_score, roc_auc_score\n", - "print(\"Prediction accuracy: \", accuracy_score(test.y, y_pred))\n", - "print(\"Prediction auc: \", roc_auc_score(test.y, y_pred))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4860abad", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "mgktools", - "language": "python", - "name": "mgktools" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/1.tutorials/4.evaluate_model_performance.ipynb b/notebooks/1.tutorials/4.evaluate_model_performance.ipynb deleted file mode 100644 index 41bd904..0000000 --- a/notebooks/1.tutorials/4.evaluate_model_performance.ipynb +++ /dev/null @@ -1,179 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "22f0c2dc", - "metadata": {}, - "outputs": [], - "source": [ - "# Dataset.\n", - "from mgktools.data.data import Dataset\n", - "dataset = Dataset.load(path='freesolv', filename='dataset.pkl')\n", - "dataset.graph_kernel_type = 'pre-computed'" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "38beb499", - "metadata": {}, - "outputs": [], - "source": [ - "# Kernel\n", - "# Using pre-computed kernel is much faster in cross validation.\n", - "from mgktools.kernels.utils import get_kernel_config\n", - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'pre-computed',\n", - " kernel_pkl = 'freesolv/kernel.pkl'\n", - ")\n", - "kernel = kernel_config.kernel" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "6716541b", - "metadata": {}, - "outputs": [], - "source": [ - "# Model\n", - "from mgktools.models.regression.GPRgraphdot import GPR\n", - "gpr = GPR(kernel=kernel,\n", - " optimizer=None,\n", - " alpha=0.01,\n", - " normalize_y=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "43ff5964", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/sklearn/metrics/_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n", - " warnings.warn(\n", - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/sklearn/metrics/_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n", - " warnings.warn(\n", - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/sklearn/metrics/_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n", - " warnings.warn(\n", - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/sklearn/metrics/_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n", - " warnings.warn(\n", - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/sklearn/metrics/_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n", - " warnings.warn(\n", - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/sklearn/metrics/_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n", - " warnings.warn(\n", - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/sklearn/metrics/_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n", - " warnings.warn(\n", - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/sklearn/metrics/_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n", - " warnings.warn(\n", - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/sklearn/metrics/_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n", - " warnings.warn(\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Test set:\n", - "rmse: 1.30514 +/- 0.17748\n", - "r2: 0.88755 +/- 0.01721\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/sklearn/metrics/_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n", - " warnings.warn(\n" - ] - }, - { - "data": { - "text/plain": [ - "1.3051363865691983" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Monte-Carlo cross-validation\n", - "from mgktools.evaluators.cross_validation import Evaluator\n", - "evaluator = Evaluator(save_dir='freesolv',\n", - " dataset=dataset,\n", - " model=gpr,\n", - " task_type='regression',\n", - " split_type='random',\n", - " split_sizes=[0.8, 0.2],\n", - " metrics=['rmse', 'r2'],\n", - " num_folds=10,\n", - " return_std=True,\n", - " n_similar=5,\n", - " kernel=kernel\n", - " )\n", - "evaluator.evaluate()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1d0c4792", - "metadata": {}, - "outputs": [], - "source": [ - "# Leave-one-out cross-validation(LOOCV).\n", - "evaluator = Evaluator(save_dir='freesolv',\n", - " dataset=dataset,\n", - " model=gpr,\n", - " task_type='regression',\n", - " split_type='loocv',\n", - " split_sizes=None,\n", - " metrics=['rmse', 'r2'],\n", - " num_folds=10,\n", - " return_std=True,\n", - " n_similar=5,\n", - " kernel=kernel\n", - " )\n", - "evaluator.evaluate()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7fbf2ebd", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "mgktools", - "language": "python", - "name": "mgktools" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/2.hyperparameter_optimization/hyperparameter_optimization.ipynb b/notebooks/2.hyperparameter_optimization/hyperparameter_optimization.ipynb deleted file mode 100644 index c43a823..0000000 --- a/notebooks/2.hyperparameter_optimization/hyperparameter_optimization.ipynb +++ /dev/null @@ -1,304 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "85c13471", - "metadata": {}, - "source": [ - "# Marginalized Graph Kernel (MGK) Architecture" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "bc096436", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'Normalization': [10000.0, [1000.0, 30000.0], None, None],\n", - " 'a_type': ['Tensorproduct', 'fixed', None, None],\n", - " 'atom_AtomicNumber': {'kDelta': [0.75, [0.75, 1.0], 0.05, None]},\n", - " 'atom_AtomicNumber_list_1': {'kConv': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'atom_AtomicNumber_list_2': {'kConv': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'atom_AtomicNumber_list_3': {'kConv': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'atom_AtomicNumber_list_4': {'kConv': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'atom_MorganHash': {'kDelta': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'atom_Ring_count': {'kDelta': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'atom_RingSize_list': {'kConv': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'atom_Hcount': {'kDelta': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'atom_AtomicNumber_count_1': {'kDelta': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'atom_AtomicNumber_count_2': {'kDelta': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'atom_Chiral': {'kDelta': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'b_type': ['Tensorproduct', 'fixed', None, None],\n", - " 'bond_Order': {'kDelta': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'bond_Stereo': {'kDelta': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'bond_RingStereo': {'kDelta': [0.9, [0.75, 1.0], 0.05, None]},\n", - " 'p_type': ['Additive_p', 'fixed', None, None],\n", - " 'probability_AtomicNumber': {'Const_p': [1.0, 'fixed', None, None]},\n", - " 'q': [0.01, [0.01, 0.5], 0.01, None]}" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# How to define the architecture of MGK is still an open question.\n", - "# In mgktools package, the architecture of MGK is defined in a json file.\n", - "# In default, mgktools provides 8 sets of choices. \n", - "# For details, please refer to:\n", - "# Xiang Y, Tang Y H, Liu H, et al. JPCA, 2021, 125(20): 4488-4497.\n", - "# Xiang Y, Tang Y H, Lin G, et al. JCIM, 2021, 61(11): 5414-5424.\n", - "from mgktools.hyperparameters import product, product_norm, product_msnorm, product_pnorm\n", - "from mgktools.hyperparameters import additive, additive_norm, additive_msnorm, additive_pnorm\n", - "import json\n", - "# product_msnorm means combining different features through product, and using molecular-sized normalization.\n", - "# This is used in the JPCA paper.\n", - "json.load(open(product_msnorm))" - ] - }, - { - "cell_type": "markdown", - "id": "df4b409d", - "metadata": {}, - "source": [ - "# Bayesian Optimization" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "91548daa", - "metadata": {}, - "outputs": [], - "source": [ - "# Dataset.\n", - "import os\n", - "import pandas as pd\n", - "from mgktools.data.data import Dataset\n", - "\n", - "if not os.path.exists('freesolv'):\n", - " os.mkdir('freesolv')\n", - " df = pd.read_csv('../datasets/freesolv.csv')\n", - " dataset = Dataset.from_df(\n", - " df,\n", - " pure_columns = ['smiles'],\n", - " target_columns = ['freesolv'],\n", - " n_jobs = 1\n", - " )\n", - " dataset.save(path='freesolv', filename='dataset.pkl', overwrite=True)\n", - "else:\n", - " dataset = Dataset.load(path='freesolv', filename='dataset.pkl')\n", - "dataset.graph_kernel_type = 'graph'" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "403c2017", - "metadata": {}, - "outputs": [], - "source": [ - "# kernel\n", - "kernel_type = 'additive_pnorm'\n", - "from mgktools.kernels.utils import get_kernel_config\n", - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'graph',\n", - " # arguments for marginalized graph kernel\n", - " mgk_hyperparameters_files = [additive_pnorm],\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "e57acac9", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/yanxiang/apps/miniforge3/envs/mgktools/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n", - "[I 2024-05-23 19:47:28,124] Using an existing study with name 'optuna-study' instead of creating a new one.\n" - ] - } - ], - "source": [ - "# Use Optuna Python package.\n", - "import os\n", - "if not os.path.exists('freesolv/hyperopt'):\n", - " os.mkdir('freesolv/hyperopt')\n", - " if not os.path.exists('freesolv/hyperopt/%s' % kernel_type):\n", - " os.mkdir('freesolv/hyperopt/%s' % kernel_type)\n", - "from mgktools.hyperparameters.optuna import bayesian_optimization\n", - "bayesian_optimization(save_dir='freesolv/hyperopt/%s' % kernel_type,\n", - " datasets=[dataset],\n", - " kernel_config=kernel_config,\n", - " model_type='gpr',\n", - " task_type='regression',\n", - " metric='rmse',\n", - " cross_validation='leave-one-out',\n", - " num_iters=50,\n", - " alpha_bounds=(0.001, 0.02),\n", - " d_alpha=0.001)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "d57df5b6-ba27-4b79-8fc0-7fd350182e17", - "metadata": {}, - "outputs": [], - "source": [ - "# The details of the hyperparameter optimization is saved at freesolv/hyperopt/additive_pnorm/optuna.db\n", - "# You can visualize it using optuna-dashboard: https://github.com/optuna/optuna-dashboard." - ] - }, - { - "cell_type": "markdown", - "id": "1a49ebb7", - "metadata": {}, - "source": [ - "# Gradient-Based Optimization" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6d722661", - "metadata": {}, - "outputs": [], - "source": [ - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'graph',\n", - " # arguments for marginalized graph kernel\n", - " mgk_hyperparameters_files = ['freesolv/hyperopt/%s/graph_hyperparameters.json' % kernel_type],\n", - ")\n", - "kernel = kernel_config.kernel\n", - "alpha = float(open('freesolv/hyperopt/%s/alpha' % kernel_type, 'r').readline())" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "8c9a60cd", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "| Sq.Err.| d(SqErr)| log|K| | Cond(K)| t_GPU (s)| t_CPU (s)|\n", - "|------------|------------|------------|------------|----------|----------|\n", - "| 25.789| 25.789| -2079.5| 4.3462e+05| 76| 0.39|\n", - "| 25.916| 25.916| -1727| 5.1566e+05| 10| 0.39|\n", - "| 23.564| 23.564| -1841.7| 4.9085e+05| 9.9| 0.39|\n", - "| 23.389| 23.389| -1787.5| 4.959e+05| 9.9| 0.41|\n", - "| 24.009| 24.009| -1611.5| 5.1222e+05| 10| 0.4|\n", - "| 23.246| 23.246| -1700| 5.0321e+05| 10| 0.41|\n", - "| 23.142| 23.142| -1651.3| 5.045e+05| 10| 0.39|\n", - "| 22.991| 22.991| -1628.9| 5.0359e+05| 10| 0.4|\n", - "| 22.839| 22.839| -1671.7| 4.869e+05| 10| 0.4|\n", - "| 22.751| 22.751| -1679.8| 4.9067e+05| 10| 0.42|\n", - "| 23.002| 23.002| -1753.7| 4.9973e+05| 10| 0.4|\n", - "| 22.654| 22.654| -1708.8| 4.9472e+05| 10| 0.41|\n", - "| 22.484| 22.484| -1880.8| 5.0913e+05| 10| 0.41|\n", - "| 22.324| 22.324| -1910.8| 5.0507e+05| 10| 0.4|\n", - "| 22.336| 22.336| -1935.9| 4.9901e+05| 10| 0.4|\n", - "| 22.294| 22.294| -1922| 5.023e+05| 10| 0.56|\n", - "| 22.289| 22.289| -1953| 5.0277e+05| 10| 0.55|\n", - "| 22.283| 22.283| -1949.5| 5.0314e+05| 10| 0.5|\n", - "| 22.265| 22.265| -1934.4| 5.0505e+05| 10| 0.44|\n", - "| 22.255| 22.255| -1918.5| 5.0672e+05| 10| 0.4|\n", - "| 22.238| 22.238| -1895.3| 5.0984e+05| 10| 0.43|\n", - "| 22.221| 22.221| -1887.8| 5.1234e+05| 10| 0.4|\n", - "| 22.207| 22.207| -1876.5| 5.1763e+05| 10| 0.42|\n", - "| 22.19| 22.19| -1858| 5.2691e+05| 10| 0.41|\n", - "| 22.176| 22.176| -1849.3| 5.2978e+05| 10| 0.38|\n", - "| 22.175| 22.175| -1855.5| 5.2866e+05| 10| 0.39|\n", - "| 22.167| 22.167| -1862.7| 5.2556e+05| 10| 0.39|\n", - "| 22.147| 22.147| -1877.1| 5.1886e+05| 10| 0.41|\n", - "| 22.133| 22.133| -1894.7| 5.1195e+05| 10| 0.4|\n", - "| 22.148| 22.148| -1906| 5.073e+05| 10| 0.4|\n", - "| 22.126| 22.126| -1898.5| 5.1022e+05| 10| 0.4|\n", - "| 22.113| 22.113| -1908.7| 5.0656e+05| 10| 0.42|\n", - "| 22.108| 22.108| -1902| 5.0973e+05| 10| 0.4|\n", - "| 22.108| 22.108| -1895| 5.1379e+05| 10| 0.39|\n", - "Optimization result:\n", - " message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH\n", - " success: True\n", - " status: 0\n", - " fun: 22.107685043225892\n", - " x: [-3.037e+00 2.303e+00 ... 1.524e+00 0.000e+00]\n", - " nit: 28\n", - " jac: [-7.076e-02 -1.527e-01 ... 1.233e-02 -9.510e+01]\n", - " nfev: 34\n", - " njev: 34\n", - " hess_inv: <33x33 LbfgsInvHessProduct with dtype=float64>\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# optimization\n", - "from mgktools.models.regression.GPRgraphdot import GPR\n", - "gpr = GPR(kernel=kernel,\n", - " optimizer='L-BFGS-B',\n", - " alpha=alpha,\n", - " normalize_y=True)\n", - "gpr.fit(dataset.X, dataset.y, loss='loocv', verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "1f9c6693", - "metadata": {}, - "outputs": [], - "source": [ - "# save optimized hyperparameters\n", - "kernel_config.update_from_theta()\n", - "kernel_config.save('freesolv/hyperopt')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "mgktools", - "language": "python", - "name": "mgktools" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/3.hybrid_kernel/1.RDKit_features.ipynb b/notebooks/3.hybrid_kernel/1.RDKit_features.ipynb deleted file mode 100644 index 6716775..0000000 --- a/notebooks/3.hybrid_kernel/1.RDKit_features.ipynb +++ /dev/null @@ -1,175 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "769f6071", - "metadata": {}, - "source": [ - "This notebook shows how to use hybrid kernel, which is tensorproduct of marginalized graph kernel (MGK) and radial basis function (RBF) kernel.\n", - "\n", - "For MGK, input is molecular graph.\n", - "\n", - "For RBF kernel, input is RDKit features.\n", - "\n", - "The hyperparameters are saved in directory freesolv_hyperparameters [1].\n", - "\n", - "References:\n", - "\n", - "[1] Xiang Y, Tang Y H, Lin G, et al. A comparative study of marginalized graph kernel and message-passing neural network[J]. Journal of Chemical Information and Modeling, 2021, 61(11): 5414-5424." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "d3db4268", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[Parallel(n_jobs=6)]: Using backend LokyBackend with 6 concurrent workers.\n", - "[Parallel(n_jobs=6)]: Done 40 tasks | elapsed: 2.0s\n", - "[Parallel(n_jobs=6)]: Done 631 out of 642 | elapsed: 8.6s remaining: 0.2s\n", - "[Parallel(n_jobs=6)]: Done 642 out of 642 | elapsed: 8.7s finished\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "df = pd.read_csv('../datasets/freesolv.csv')\n", - "from mgktools.data.data import Dataset\n", - "dataset = Dataset.from_df(\n", - " df,\n", - " pure_columns = ['smiles'],\n", - " target_columns = ['freesolv'],\n", - " features_generator = ['rdkit_2d_normalized'],\n", - " n_jobs = 6\n", - ")\n", - "# Save the dataset as dataset.pkl.\n", - "import os\n", - "if not os.path.exists('freesolv'):\n", - " os.mkdir('freesolv')\n", - "dataset.save(path='freesolv', filename='dataset.pkl', overwrite=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "fe157488", - "metadata": {}, - "outputs": [], - "source": [ - "from mgktools.kernels.utils import get_kernel_config\n", - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'graph',\n", - " # arguments for marginalized graph kernel\n", - " mgk_hyperparameters_files = ['product-msnorm.json'],\n", - " # arguments for RBF kernel\n", - " features_hyperparameters_file = 'rbf.json'\n", - ")\n", - "kernel = kernel_config.kernel" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "b817d6c5", - "metadata": {}, - "outputs": [], - "source": [ - "from mgktools.kernels.PreComputed import calc_precomputed_kernel_config\n", - "dataset.graph_kernel_type = 'graph'\n", - "kernel_config = calc_precomputed_kernel_config(kernel_config=kernel_config,\n", - " dataset=dataset)\n", - "import os, pickle\n", - "kernel_pkl = os.path.join('freesolv', 'kernel.pkl')\n", - "pickle.dump(kernel_config, open(kernel_pkl, 'wb'), protocol=4)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "dd21dacf", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'pre-computed',\n", - " # arguments for pre-computed kernel\n", - " kernel_pkl = 'freesolv/kernel.pkl',\n", - " features_hyperparameters_file = 'rbf.json'\n", - ")\n", - "kernel = kernel_config.kernel\n", - "\n", - "dataset.graph_kernel_type = 'pre-computed'\n", - "from mgktools.data import dataset_split\n", - "train, test = dataset_split(dataset, \n", - " split_type='random',\n", - " sizes=[0.8, 0.2])\n", - "from mgktools.models.regression.GPRgraphdot.gpr import GPR\n", - "gpr = GPR(kernel=kernel,\n", - " optimizer=None,\n", - " alpha=0.01,\n", - " normalize_y=True)\n", - "gpr.fit(train.X, train.y)\n", - "y_pred = gpr.predict(test.X)\n", - "import matplotlib.pyplot as plt\n", - "plt.scatter(test.y, y_pred)\n", - "plt.plot([-25, 5], [-25, 5])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c1aca67d", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "mgktools", - "language": "python", - "name": "mgktools" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/3.hybrid_kernel/2.temperature_dependent_property.ipynb b/notebooks/3.hybrid_kernel/2.temperature_dependent_property.ipynb deleted file mode 100644 index 8230327..0000000 --- a/notebooks/3.hybrid_kernel/2.temperature_dependent_property.ipynb +++ /dev/null @@ -1,178 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "8370b03f", - "metadata": {}, - "source": [ - "This notebook shows how to use hybrid kernel, which is tensorproduct of marginalized graph kernel (MGK) and radial basis function (RBF) kernel.\n", - "\n", - "For MGK, the input is molecular graph.\n", - "\n", - "For RBF kernel, the input is temperature.\n", - "\n", - "This is an example for surface tension." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "fe8ba449", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:No normalization for BCUT2D_MWHI\n", - "WARNING:root:No normalization for BCUT2D_MWLOW\n", - "WARNING:root:No normalization for BCUT2D_CHGHI\n", - "WARNING:root:No normalization for BCUT2D_CHGLO\n", - "WARNING:root:No normalization for BCUT2D_LOGPHI\n", - "WARNING:root:No normalization for BCUT2D_LOGPLOW\n", - "WARNING:root:No normalization for BCUT2D_MRHI\n", - "WARNING:root:No normalization for BCUT2D_MRLOW\n", - "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n", - "[Parallel(n_jobs=1)]: Done 633 out of 633 | elapsed: 5.8s finished\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "df = pd.read_csv('../datasets/slab-sim.csv')\n", - "from mgktools.data.data import Dataset\n", - "dataset = Dataset.from_df(\n", - " df,\n", - " pure_columns = ['smiles'],\n", - " feature_columns = ['redT'],\n", - " target_columns = ['st'],\n", - " group_reading = True,\n", - " n_jobs = 1\n", - ")\n", - "# Save the dataset as dataset.pkl.\n", - "import os\n", - "if not os.path.exists('st'):\n", - " os.mkdir('st')\n", - "dataset.save(path='st', filename='dataset.pkl', overwrite=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "da03058c", - "metadata": {}, - "outputs": [], - "source": [ - "from mgktools.kernels.utils import get_kernel_config\n", - "from mgktools.hyperparameters import product_msnorm\n", - "dataset.graph_kernel_type = 'graph'\n", - "dataset.set_ignore_features_add(True)\n", - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'graph',\n", - " # arguments for marginalized graph kernel\n", - " mgk_hyperparameters_files = [product_msnorm],\n", - ")\n", - "kernel = kernel_config.kernel" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "db74c38a", - "metadata": {}, - "outputs": [], - "source": [ - "kernel_dict = kernel_config.get_kernel_dict(dataset.X, dataset.X_repr.ravel())\n", - "import os, pickle\n", - "kernel_pkl = os.path.join('st', 'kernel.pkl')\n", - "pickle.dump(kernel_dict, open(kernel_pkl, 'wb'), protocol=4)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "f461f5ed", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "dataset.set_ignore_features_add(False)\n", - "kernel_config = get_kernel_config(\n", - " dataset,\n", - " graph_kernel_type = 'pre-computed',\n", - " # arguments for pre-computed kernel\n", - " kernel_pkl = 'st/kernel.pkl',\n", - " features_kernel_type = 'rbf',\n", - " features_hyperparameters = [0.1],\n", - ")\n", - "kernel = kernel_config.kernel\n", - "\n", - "dataset.graph_kernel_type = 'pre-computed'\n", - "from mgktools.data import dataset_split\n", - "train, test = dataset_split(dataset, \n", - " split_type='random',\n", - " sizes=[0.8, 0.2])\n", - "from mgktools.models.regression.GPRgraphdot.gpr import GPR\n", - "gpr = GPR(kernel=kernel,\n", - " optimizer=None,\n", - " alpha=0.01,\n", - " normalize_y=True)\n", - "gpr.fit(train.X, train.y)\n", - "y_pred = gpr.predict(test.X)\n", - "import matplotlib.pyplot as plt\n", - "plt.scatter(test.y, y_pred)\n", - "plt.plot([0, 60], [0, 60])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c8c88d45", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "mgktools", - "language": "python", - "name": "mgktools" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/3.hybrid_kernel/freesolv_hyperparameters/alpha b/notebooks/3.hybrid_kernel/freesolv_hyperparameters/alpha deleted file mode 100644 index a8be323..0000000 --- a/notebooks/3.hybrid_kernel/freesolv_hyperparameters/alpha +++ /dev/null @@ -1 +0,0 @@ -0.008 \ No newline at end of file diff --git a/notebooks/3.hybrid_kernel/freesolv_hyperparameters/features_hyperparameters.json b/notebooks/3.hybrid_kernel/freesolv_hyperparameters/features_hyperparameters.json deleted file mode 100644 index f3494e6..0000000 --- a/notebooks/3.hybrid_kernel/freesolv_hyperparameters/features_hyperparameters.json +++ /dev/null @@ -1,12 +0,0 @@ -{ - "features_kernel_type": "rbf", - "features_hyperparameters": [ - 4.383374390294247 - ], - "features_hyperparameters_bounds": [ - [ - 1.0, - 20.0 - ] - ] -} \ No newline at end of file diff --git a/notebooks/3.hybrid_kernel/freesolv_hyperparameters/hyperparameters_0.json b/notebooks/3.hybrid_kernel/freesolv_hyperparameters/hyperparameters_0.json deleted file mode 100644 index 1ac4a5e..0000000 --- a/notebooks/3.hybrid_kernel/freesolv_hyperparameters/hyperparameters_0.json +++ /dev/null @@ -1,434 +0,0 @@ -{ - "Normalization": [ - 42000.0, - [ - 1000, - 50000 - ], - 1000 - ], - "a_type": [ - "Additive", - "fixed" - ], - "atom_AtomicNumber": { - "Const": [ - 10.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kDelta": [ - 0.8, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "atom_AtomicNumber_list_1": { - "Const": [ - 1.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kConv": [ - 0.8500000000000001, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "atom_AtomicNumber_list_2": { - "Const": [ - 5.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kConv": [ - 0.75, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "atom_AtomicNumber_list_3": { - "Const": [ - 10.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kConv": [ - 0.75, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "atom_AtomicNumber_list_4": { - "Const": [ - 10.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kConv": [ - 1.0, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "atom_MorganHash": { - "Const": [ - 3.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kDelta": [ - 1.0, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "atom_Ring_count": { - "Const": [ - 9.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kDelta": [ - 1.0, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "atom_RingSize_list": { - "Const": [ - 5.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kConv": [ - 1.0, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "atom_Hcount": { - "Const": [ - 3.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kDelta": [ - 0.75, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "atom_AtomicNumber_count_1": { - "Const": [ - 10.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kDelta": [ - 0.8, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "atom_AtomicNumber_count_2": { - "Const": [ - 1.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kDelta": [ - 0.75, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "atom_Chiral": { - "Const": [ - 1.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kDelta": [ - 0.8500000000000001, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "b_type": [ - "Additive", - "fixed" - ], - "bond_Order": { - "Const": [ - 1.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kDelta": [ - 0.75, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "bond_Stereo": { - "Const": [ - 10.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kDelta": [ - 1.0, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "bond_RingStereo": { - "Const": [ - 1.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kDelta": [ - 1.0, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "bond_Conjugated": { - "Const": [ - 1.0, - [ - 1.0, - 10.0 - ], - 1.0 - ], - "kDelta": [ - 0.8, - [ - 0.75, - 1.0 - ], - 0.05 - ] - }, - "p_type": [ - "Additive_p", - "fixed" - ], - "probability_AtomicNumber": { - "Const_p": [ - 1.0, - "fixed" - ] - }, - "probability_group_an5": { - "Assign_p": [ - 10.0, - [ - 1.0, - 10.0 - ], - 1.0 - ] - }, - "probability_group_an6": { - "Assign_p": [ - 2.0, - [ - 1.0, - 10.0 - ], - 1.0 - ] - }, - "probability_group_an7": { - "Assign_p": [ - 1.0, - [ - 1.0, - 10.0 - ], - 1.0 - ] - }, - "probability_group_an8": { - "Assign_p": [ - 9.0, - [ - 1.0, - 10.0 - ], - 1.0 - ] - }, - "probability_group_an9": { - "Assign_p": [ - 2.0, - [ - 1.0, - 10.0 - ], - 1.0 - ] - }, - "probability_group_an14": { - "Assign_p": [ - 2.0, - [ - 1.0, - 10.0 - ], - 1.0 - ] - }, - "probability_group_an15": { - "Assign_p": [ - 5.0, - [ - 1.0, - 10.0 - ], - 1.0 - ] - }, - "probability_group_an16": { - "Assign_p": [ - 10.0, - [ - 1.0, - 10.0 - ], - 1.0 - ] - }, - "probability_group_an17": { - "Assign_p": [ - 10.0, - [ - 1.0, - 10.0 - ], - 1.0 - ] - }, - "probability_group_an35": { - "Assign_p": [ - 8.0, - [ - 1.0, - 10.0 - ], - 1.0 - ] - }, - "probability_group_an53": { - "Assign_p": [ - 3.0, - [ - 1.0, - 10.0 - ], - 1.0 - ] - }, - "q": [ - 0.11, - [ - 0.01, - 0.5 - ], - 0.01 - ] -} \ No newline at end of file diff --git a/notebooks/4.interpretation/interpret.ipynb b/notebooks/4.interpretation/interpret.ipynb deleted file mode 100644 index e8234f7..0000000 --- a/notebooks/4.interpretation/interpret.ipynb +++ /dev/null @@ -1,244 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "a8a53106", - "metadata": {}, - "outputs": [], - "source": [ - "import rdkit.Chem.AllChem as Chem\n", - "import json\n", - "import pandas as pd\n", - "import numpy as np\n", - "from mgktools.interpret.interpret import interpret_training_mols, interpret_atoms" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "7fc64e45", - "metadata": {}, - "outputs": [], - "source": [ - "from mgktools.hyperparameters import product_pnorm\n", - "df = pd.read_csv('../datasets/freesolv.csv')\n", - "smiles_to_be_interpret = 'c1ccccc1CCO'\n", - "smiles_train = df.smiles\n", - "targets_train = df['freesolv']\n", - "n_mol = 10\n", - "alpha = 0.01\n", - "mgk_hyperparameters_file = product_pnorm" - ] - }, - { - "cell_type": "markdown", - "id": "80584c3c", - "metadata": {}, - "source": [ - "# Interpretation as the sum of the contribution of the molecules in training set" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "f00c6c05", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[Parallel(n_jobs=1)]: Done 49 tasks | elapsed: 0.4s\n", - "[Parallel(n_jobs=1)]: Done 199 tasks | elapsed: 1.8s\n", - "[Parallel(n_jobs=1)]: Done 449 tasks | elapsed: 4.0s\n" - ] - } - ], - "source": [ - "y_pred, y_std, df_interpret= interpret_training_mols(\n", - " [smiles_to_be_interpret], \n", - " smiles_train, \n", - " targets_train, \n", - " alpha=alpha, \n", - " n_mol=10, \n", - " output_order='sort_by_value', \n", - " mgk_hyperparameters_file=mgk_hyperparameters_file,\n", - " n_jobs=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "c2b9527c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Prediction: -6.767196 +/- 0.531931\n", - "\n", - "[ smiles_train contribution_percentage \\\n", - "0 c1ccc(cc1)CCO 0.911020 \n", - "1 c1ccc(cc1)CCCO 0.022730 \n", - "2 c1ccc2c(c1)C(=O)c3cccc(c3C2=O)NCCO 0.005894 \n", - "3 c1ccc(cc1)CO 0.010676 \n", - "4 C([C@H]([C@H]([C@@H]([C@@H](CO)O)O)O)O)O 0.001245 \n", - "5 c1ccc(cc1)Cn2ccnc2 0.003379 \n", - "6 c1ccc(cc1)OC=O 0.006666 \n", - "7 c1ccc(cc1)n2c(=O)c(c(cn2)N)Cl 0.001498 \n", - "8 CN(C)C(=O)Nc1ccccc1 0.002259 \n", - "9 CC(=O)OCC(COC(=O)C)OC(=O)C 0.002225 \n", - "\n", - " contribution_value \n", - "0 -6.185827 \n", - "1 -0.157293 \n", - "2 -0.083748 \n", - "3 -0.070677 \n", - "4 -0.029408 \n", - "5 -0.025781 \n", - "6 -0.025465 \n", - "7 -0.024611 \n", - "8 -0.020624 \n", - "9 -0.019673 ]\n" - ] - } - ], - "source": [ - "print('Prediction: %f +/- %f\\n' % (y_pred, y_std * targets_train.std()))\n", - "print(df_interpret)" - ] - }, - { - "cell_type": "markdown", - "id": "d118c139", - "metadata": {}, - "source": [ - "# Interpretation as the sum of the contribution of atoms" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "43156580", - "metadata": {}, - "outputs": [], - "source": [ - "y_pred, y_std, mol = interpret_atoms(\n", - " smiles_to_be_interpret, \n", - " smiles_train, \n", - " targets_train, \n", - " alpha=alpha, \n", - " mgk_hyperparameters_file=mgk_hyperparameters_file)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "029e0acc", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Prediction: -6.767331 +/- 0.531915\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "print('Prediction: %f +/- %f\\n' % (y_pred, y_std * targets_train.std()))\n", - "mol" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "6e917e41", - "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from mgktools.interpret.utils import display_mol\n", - "display_mol(mol, highlight_threshold_upper=-0.5, highlight_threshold_lower=-2.5, remove_number=True)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "mgktools", - "language": "python", - 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