A list of (hyper-)parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters, respectively.
The upper bound of the expected false discovery rate.
The upper bound of the expected false discovery rate. Only applicable when selectorType = "fdr". Default value is 0.05.
Param for features column name.
Param for features column name.
The highest p-value for features to be kept.
The highest p-value for features to be kept. Only applicable when selectorType = "fpr". Default value is 0.05.
The upper bound of the expected family-wise error rate.
The upper bound of the expected family-wise error rate. Only applicable when selectorType = "fwe". Default value is 0.05.
Param for label column name.
Param for label column name.
Number of features that selector will select, ordered by ascending p-value.
Number of features that selector will select, ordered by ascending p-value. If the number of features is less than numTopFeatures, then this will select all features. Only applicable when selectorType = "numTopFeatures". The default value of numTopFeatures is 50.
Param for output column name.
Param for output column name.
Percentile of features that selector will select, ordered by statistics value descending.
Percentile of features that selector will select, ordered by statistics value descending. Only applicable when selectorType = "percentile". Default value is 0.1.
The selector type of the ChisqSelector.
The selector type of the ChisqSelector. Supported options: "numTopFeatures" (default), "percentile", "fpr", "fdr", "fwe".
Clears the user-supplied value for the input param.
Clears the user-supplied value for the input param.
Creates a copy of this instance with the same UID and some extra params.
Creates a copy of this instance with the same UID and some extra params.
Subclasses should implement this method and set the return type properly.
See defaultCopy()
.
Explains a param.
Explains a param.
input param, must belong to this instance.
a string that contains the input param name, doc, and optionally its default value and the user-supplied value
Explains all params of this instance.
Explains all params of this instance. See explainParam()
.
extractParamMap
with no extra values.
extractParamMap
with no extra values.
Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values less than user-supplied values less than extra.
Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values less than user-supplied values less than extra.
Optionally returns the user-supplied value of a param.
Optionally returns the user-supplied value of a param.
Gets the default value of a parameter.
Gets the default value of a parameter.
Gets the value of a param in the embedded param map or its default value.
Gets the value of a param in the embedded param map or its default value. Throws an exception if neither is set.
Gets a param by its name.
Gets a param by its name.
Tests whether the input param has a default value set.
Tests whether the input param has a default value set.
Tests whether this instance contains a param with a given name.
Tests whether this instance contains a param with a given name.
Indicates whether this Model has a corresponding parent.
Checks whether a param is explicitly set or has a default value.
Checks whether a param is explicitly set or has a default value.
Checks whether a param is explicitly set.
Checks whether a param is explicitly set.
Returns all params sorted by their names.
Returns all params sorted by their names. The default implementation uses Java reflection to list all public methods that have no arguments and return Param.
Developer should not use this method in constructor because we cannot guarantee that this variable gets initialized before other params.
The parent estimator that produced this model.
The parent estimator that produced this model.
For ensembles' component Models, this value can be null.
Saves this ML instance to the input path, a shortcut of write.save(path)
.
Saves this ML instance to the input path, a shortcut of write.save(path)
.
list of indices to select (filter).
list of indices to select (filter).
Sets a parameter in the embedded param map.
Sets a parameter in the embedded param map.
Sets the parent of this model (Java API).
Sets the parent of this model (Java API).
Transforms the input dataset.
Transforms the input dataset.
Transforms the dataset with provided parameter map as additional parameters.
Transforms the dataset with provided parameter map as additional parameters.
input dataset
additional parameters, overwrite embedded params
transformed dataset
Transforms the dataset with optional parameters
Transforms the dataset with optional parameters
input dataset
the first param pair, overwrite embedded params
other param pairs, overwrite embedded params
transformed dataset
Check transform validity and derive the output schema from the input schema.
We check validity for interactions between parameters during transformSchema
and
raise an exception if any parameter value is invalid. Parameter value checks which
do not depend on other parameters are handled by Param.validate()
.
Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.
An immutable unique ID for the object and its derivatives.
An immutable unique ID for the object and its derivatives.
Returns an MLWriter
instance for this ML instance.
Returns an MLWriter
instance for this ML instance.
Model fitted by ChiSqSelector.