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summarize: Summarize parameter and feature extraction information for a trained estimator.ΒΆ

Docstring:

Usage: qiime sample-classifier summarize [OPTIONS]

  Summarize parameter and feature extraction information for a trained
  estimator.

Inputs:
  --i-sample-estimator ARTIFACT SampleEstimator[Classifier | Regressor]
                         Sample estimator trained with fit_classifier or
                         fit_regressor.                             [required]
Outputs:
  --o-visualization VISUALIZATION
                                                                    [required]
Miscellaneous:
  --output-dir PATH      Output unspecified results to a directory
  --verbose / --quiet    Display verbose output to stdout and/or stderr
                         during execution of this action. Or silence output if
                         execution is successful (silence is golden).
  --example-data PATH    Write example data and exit.
  --citations            Show citations and exit.
  --use-cache DIRECTORY  Specify the cache to be used for the intermediate
                         work of this action. If not provided, the default
                         cache under $TMP/qiime2/ will be used.
                         IMPORTANT FOR HPC USERS: If you are on an HPC system
                         and are using parallel execution it is important to
                         set this to a location that is globally accessible to
                         all nodes in the cluster.
  --help                 Show this message and exit.

Import:

from qiime2.plugins.sample_classifier.visualizers import summarize

Docstring:

Summarize parameter and feature extraction information for a trained
estimator.

Summarize parameter and feature extraction information for a trained
estimator.

Parameters
----------
sample_estimator : SampleEstimator[Classifier | Regressor]
    Sample estimator trained with fit_classifier or fit_regressor.

Returns
-------
visualization : Visualization