ML Pipeline APIs¶ DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines. class pyspark.ml.Transformer¶ Abstract class for transformers that transform one dataset into another. copy(extra=None)¶ Creates a copy of this instance with the same uid and some extra params. The default implementation creates a shallow copy using copy.copy(),
Pipelining: chaining a PCA and a logistic regression¶ The PCA does an unsupervised dimensionality reduction, while the logistic regression does the prediction. We use a GridSearchCV to set the dimensionality of the PCA print(__doc__) # Code source: Gaël Varoquaux # Modified for documentation by Jaques Grobler # License: BSD 3 clause import numpy as np import matplotlib.pyplot as plt from sklearn i
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