Fix broken predict_batch_udf links (#489)

Signed-off-by: Rishi Chandra <rishic@nvidia.com>
NVIDIA · Feb 6, 2025 · 59b4920 · 59b4920
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diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/README.md b/examples/ML+DL-Examples/Spark-DL/dl_inference/README.md
@@ -1,6 +1,6 @@
 # Deep Learning Inference on Spark
 
-Example notebooks demonstrating **distributed deep learning inference** using the [predict_batch_udf](https://developer.nvidia.com/blog/distributed-deep-learning-made-easy-with-spark-3-4/) introduced in Spark 3.4.0.
+Example notebooks demonstrating **distributed deep learning inference** using the [predict_batch_udf](https://developer.nvidia.com/blog/distributed-deep-learning-made-easy-with-spark-3-4/#distributed_inference) introduced in Spark 3.4.0.
 These notebooks also demonstrate integration with [Triton Inference Server](https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html), an open-source, GPU-accelerated serving solution for DL.
 
 ## Contents:

diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/conditional_generation_tf.ipynb b/examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/conditional_generation_tf.ipynb
@@ -561,7 +561,7 @@
    "source": [
     "## Inference using Spark DL API\n",
     "\n",
-    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/3.4.0/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
+    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
     "\n",
     "- predict_batch_fn uses Tensorflow APIs to load the model and return a predict function which operates on numpy arrays \n",
     "- predict_batch_udf will convert the Spark DataFrame columns into numpy input batches for the predict function"

diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/conditional_generation_torch.ipynb b/examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/conditional_generation_torch.ipynb
@@ -622,7 +622,7 @@
    "source": [
     "## Inference using Spark DL API\n",
     "\n",
-    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/3.4.0/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
+    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
     "\n",
     "- predict_batch_fn uses PyTorch APIs to load the model and return a predict function which operates on numpy arrays \n",
     "- predict_batch_udf will convert the Spark DataFrame columns into numpy input batches for the predict function"

diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/pipelines_tf.ipynb b/examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/pipelines_tf.ipynb
@@ -564,7 +564,7 @@
    "source": [
     "## Inference using Spark DL API\n",
     "\n",
-    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/3.4.0/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
+    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
     "\n",
     "- predict_batch_fn uses Tensorflow APIs to load the model and return a predict function which operates on numpy arrays \n",
     "- predict_batch_udf will convert the Spark DataFrame columns into numpy input batches for the predict function"

diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/pipelines_torch.ipynb b/examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/pipelines_torch.ipynb
@@ -461,7 +461,7 @@
    "source": [
     "## Inference using Spark DL API\n",
     "\n",
-    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/3.4.0/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
+    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
     "\n",
     "- predict_batch_fn uses PyTorch APIs to load the model and return a predict function which operates on numpy arrays \n",
     "- predict_batch_udf will convert the Spark DataFrame columns into numpy input batches for the predict function"

diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/sentence_transformers_torch.ipynb b/examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/sentence_transformers_torch.ipynb
@@ -395,7 +395,7 @@
    "source": [
     "## Inference using Spark DL API\n",
     "\n",
-    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/3.4.0/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
+    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
     "\n",
     "- predict_batch_fn uses PyTorch APIs to load the model and return a predict function which operates on numpy arrays \n",
     "- predict_batch_udf will convert the Spark DataFrame columns into numpy input batches for the predict function"

diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/pytorch/housing_regression_torch.ipynb b/examples/ML+DL-Examples/Spark-DL/dl_inference/pytorch/housing_regression_torch.ipynb
@@ -1151,7 +1151,7 @@
    "source": [
     "## Inference using Spark DL API\n",
     "\n",
-    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/3.4.0/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
+    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
     "\n",
     "- predict_batch_fn uses PyTorch APIs to load the model and return a predict function which operates on numpy arrays \n",
     "- predict_batch_udf will convert the Spark DataFrame columns into numpy input batches for the predict function"

diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/pytorch/image_classification_torch.ipynb b/examples/ML+DL-Examples/Spark-DL/dl_inference/pytorch/image_classification_torch.ipynb
@@ -1743,7 +1743,7 @@
    "source": [
     "## Inference using Spark DL API\n",
     "\n",
-    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/3.4.0/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
+    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
     "\n",
     "- predict_batch_fn uses PyTorch APIs to load the model and return a predict function which operates on numpy arrays \n",
     "- predict_batch_udf will convert the Spark DataFrame columns into numpy input batches for the predict function"

diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/tensorflow/image_classification_tf.ipynb b/examples/ML+DL-Examples/Spark-DL/dl_inference/tensorflow/image_classification_tf.ipynb
@@ -1000,7 +1000,7 @@
    "source": [
     "## Inference using Spark DL API\n",
     "\n",
-    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/3.4.0/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
+    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
     "\n",
     "- predict_batch_fn uses Tensorflow APIs to load the model and return a predict function which operates on numpy arrays \n",
     "- predict_batch_udf will convert the Spark DataFrame columns into numpy input batches for the predict function"

diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/tensorflow/keras_preprocessing_tf.ipynb b/examples/ML+DL-Examples/Spark-DL/dl_inference/tensorflow/keras_preprocessing_tf.ipynb
@@ -1160,7 +1160,7 @@
    "source": [
     "## Inference using Spark DL API\n",
     "\n",
-    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/3.4.0/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
+    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
     "\n",
     "- predict_batch_fn uses Tensorflow APIs to load the model and return a predict function which operates on numpy arrays \n",
     "- predict_batch_udf will convert the Spark DataFrame columns into numpy input batches for the predict function"

diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/tensorflow/keras_resnet50_tf.ipynb b/examples/ML+DL-Examples/Spark-DL/dl_inference/tensorflow/keras_resnet50_tf.ipynb
@@ -613,7 +613,7 @@
    "source": [
     "## Inference using Spark DL API\n",
     "\n",
-    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/3.4.0/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
+    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
     "\n",
     "- predict_batch_fn uses Tensorflow APIs to load the model and return a predict function which operates on numpy arrays \n",
     "- predict_batch_udf will convert the Spark DataFrame columns into numpy input batches for the predict function"

diff --git a/examples/ML+DL-Examples/Spark-DL/dl_inference/tensorflow/text_classification_tf.ipynb b/examples/ML+DL-Examples/Spark-DL/dl_inference/tensorflow/text_classification_tf.ipynb
@@ -1374,7 +1374,7 @@
    "source": [
     "## Inference using Spark DL API\n",
     "\n",
-    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/3.4.0/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
+    "Distributed inference using the PySpark [predict_batch_udf](https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.functions.predict_batch_udf.html#pyspark.ml.functions.predict_batch_udf):\n",
     "\n",
     "- predict_batch_fn uses Tensorflow APIs to load the model and return a predict function which operates on numpy arrays \n",
     "- predict_batch_udf will convert the Spark DataFrame columns into numpy input batches for the predict function"