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CustomPythonMLPipe - A helper type to act as a 'base' for defining new python based machine learning Pipes.

  • https://<vanity_url>/jupyter/notebooks/tutorials/TutorialIntroMLPipeline.ipynb
  • https://<vanity_url>/jupyter/notebooks/tutorials/TutorialKerasPipe.ipynb
  • https://<vanity_url>/jupyter/notebooks/tutorials/TutorialMLDataStreams.ipynb
  • https://<vanity_url>/jupyter/notebooks/tutorials/TutorialProphetPipe.ipynb
  • https://<vanity_url>/jupyter/notebooks/tutorials/TutorialStatsModelsTsaPipe.ipynb
  • https://<vanity_url>/jupyter/notebooks/tutorials/TutorialTensorflowPipe.ipynb
  • https://<vanity_url>/jupyter/notebooks/tutorials/TutorialXgBoostMLPipeline.ipynb

Concrete Types

MLSerialPipeline - This is the concrete implementation of the MLPipeline Type. Since MLSerialPipeline is so general, you won't have to subclass it.

SklearnPipe - This concrete implementation of MLLeafPipe provides a straightforward way to use sklearn machine learning pre-processing and modelling functions. (See the https://<vanity_url>/jupyter/notebooks/tutorials/TutorialIntroMLPipeline.ipynb notebook on your C3 Cluster for more information.)

TensorflowClassifier - (Concrete MLLeafPipe) This Type allows the user to store a tensorflow estimator-based model, specifically a classifier. This Type currently works with tensorflow 1.9.0 (See the notebook https://<vanity_url>/jupyter/notebooks/tutorials/TutorialTensorflowPipe.ipynb on your C3 Cluster for more information.)

TensorflowRegressor - (Concrete MLLeafPipe) This Type allows the user to store a tensorflow estimator-based model, specifically a regressor. This Type currently works with tensorflow 1.9.0 (See the notebook https://<vanity_url>/jupyter/notebooks/tutorials/TutorialTensorflowPipe.ipynb on your C3 Cluster for more information.)

KerasPipe - (Concrete MLLeafPipe) This Type allows the user to store a keras tensorflow model. This Type currently uses tensorflow 2.1.0. (See the notebook https://<vanity_url>/jupyter/notebooks/tutorials/TutorialKerasPipe.ipynb on your C3 Cluster for more information.)

XgBoostPipe - (Concrete MLLeafPipe) This Type implements the sklearn-compatible part of the Xgboost library. (See the notebook https://<vanity_url>/jupyter/notebooks/tutorials/TutorialXgBoostMLPipeline.ipynb on your C3 Cluster for more information.)

Usage Examples

Let's take a look at the C3 developed TutorailIntroMLPipeline.ipynb (Instructions on how to find this notebook below).

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