class_docstr: Principal Components Analysis
class_docstr_tok: ["Principal","Components","Analysis"]
docstr: Whether to score during each iteration of model training.
  
  Type: ``bool``, defaults to ``False``.
  
  :examples:
  
  >>> data = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/pca_test/SDSS_quasar.txt.zip")
  >>> data_pca = H2OPrincipalComponentAnalysisEstimator(k=3,
  ...                                                   score_each_iteration=True,
  ...                                                   seed=1234,
  ...                                                   impute_missing=True)
  >>> data_pca.train(x=data.names, training_frame=data)
  >>> data_pca.show()
docstr_tok: ["Whether","to","score","during","each","iteration","of","model","training",".","Type",":","``","bool","``",",","defaults","to","``","False","``",".",":","examples",":",">",">",">","data","=","h2o.import_file","(","``","https",":","\/\/s3.amazonaws.com\/h2o-public-test-data\/smalldata\/pca_test\/SDSS_quasar.txt.zip","''",")",">",">",">","data_pca","=","H2OPrincipalComponentAnalysisEstimator","(","k=3",",","...","score_each_iteration=True",",","...","seed=1234",",","...","impute_missing=True",")",">",">",">","data_pca.train","(","x=data.names",",","training_frame=data",")",">",">",">","data_pca.show","(",")"]
code: def score_each_iteration(self):
      """
      Whether to score during each iteration of model training.
  
      Type: ``bool``, defaults to ``False``.
  
      :examples:
  
      >>> data = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/pca_test/SDSS_quasar.txt.zip")
      >>> data_pca = H2OPrincipalComponentAnalysisEstimator(k=3,
      ...                                                   score_each_iteration=True,
      ...                                                   seed=1234,
      ...                                                   impute_missing=True)
      >>> data_pca.train(x=data.names, training_frame=data)
      >>> data_pca.show()
      """
      return self._parms.get("score_each_iteration")
  
imports: from h2o.estimators.estimator_base import H2OEstimator
  from h2o.exceptions import H2OValueError
  from h2o.frame import H2OFrame
  from h2o.utils.typechecks import assert_is_type, Enum, numeric
label_desc: Use image node_id 10 for calling the H2OPrincipalComponentAnalysisEstimator obj's underlying member method code with example usage: obj.score_each_iteration() and returns: self