imports.py

# list all imports here so that the requirements.txt can be build using pipreqs library

import os
from pathlib import Path
from google.colab import drive
import random
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
import joblib
from collections import Counter
from imblearn.over_sampling import SMOTE
from sklearn.model_selection import train_test_split
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import MinMaxScaler
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression

from sklearn.model_selection import cross_validate
from sklearn.metrics import roc_auc_score, precision_score, recall_score, accuracy_score, f1_score
from sklearn.metrics import make_scorer
from sklearn.metrics import roc_curve, precision_recall_curve
from sklearn.metrics import confusion_matrix
from sklearn.metrics import ConfusionMatrixDisplay
from sklearn.metrics import RocCurveDisplay, PrecisionRecallDisplay

from sklearn.compose import ColumnTransformer
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler, OneHotEncoder

import os
from pathlib import Path
from google.colab import drive
import random
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
import joblib
from sklearn.model_selection import train_test_split
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.metrics import roc_auc_score, precision_score, recall_score
from sklearn.metrics import roc_curve, precision_recall_curve

import os
from pathlib import Path
from google.colab import drive
import random
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
import joblib
from collections import Counter
from imblearn.over_sampling import SMOTE
from sklearn.model_selection import train_test_split
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import MinMaxScaler
from sklearn.ensemble import GradientBoostingClassifier

from sklearn.model_selection import cross_validate
from sklearn.metrics import roc_auc_score, precision_score, recall_score, accuracy_score, f1_score
from sklearn.metrics import make_scorer
from sklearn.metrics import roc_curve, precision_recall_curve
from sklearn.metrics import confusion_matrix
from sklearn.metrics import ConfusionMatrixDisplay
from sklearn.metrics import RocCurveDisplay, PrecisionRecallDisplay

from flask import Flask, request