May 2018
Beginner to intermediate
384 pages
10h 19m
English
book
Artificial Intelligence for Big Data
by Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone
Content preview from Artificial Intelligence for Big Data
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Pipeline
Pipeline represents a sequence of stages, where every stage is a transformer or an estimator. All these stages run in an order and the dataset that is input is altered as it passes through every stage. For the stages of transformers, the transform () method is used, while for the stages of estimators, the fit() method is used to create a transformer.
Every DataFrame that is output from one stage is input for the next stage. The pipeline is also an estimator. Therefore, it produces PipelineModel once the fit() method is run. PipelineModel is a transformer. PipelineModel contains the same number of stages as in the original pipeline. PipelineModel and pipelines make sure that the test and training data pass through similar feature-processing ...
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