Constructor Detail

Method Detail

• categoricalFeatureNames

   final Optional<List<String>> categoricalFeatureNames()

  Array with the names of all categorical features in the dataset. E.g. "Gender", "Geography".

• featureNames

   final Optional<List<String>> featureNames()

  Array with all input feature names.

• inferenceIdColumnName

   final Optional<String> inferenceIdColumnName()

  Name of the column with the inference ids. This is useful if you want to update rows at a later point in time. If not provided, a unique id is generated by Openlayer.

• latencyColumnName

   final Optional<String> latencyColumnName()

  Name of the column with the latencies.

• _metadata

   final JsonValue _metadata()

  Object with metadata.

  This arbitrary value can be deserialized into a custom type using the convert method:

  MyClass myObject = tabularRegressionData.metadata().convert(MyClass.class);

• predictionsColumnName

   final Optional<String> predictionsColumnName()

  Name of the column with the model's predictions.

• targetColumnName

   final Optional<String> targetColumnName()

  Name of the column with the targets (ground truth values).

• timestampColumnName

   final Optional<String> timestampColumnName()

  Name of the column with the timestamps. Timestamps must be in UNIX sec format. If not provided, the upload timestamp is used.

• _categoricalFeatureNames

   final JsonField<List<String>> _categoricalFeatureNames()

  Returns the raw JSON value of categoricalFeatureNames.

  Unlike categoricalFeatureNames, this method doesn't throw if the JSON field has an unexpected type.

• _featureNames

   final JsonField<List<String>> _featureNames()

  Returns the raw JSON value of featureNames.

  Unlike featureNames, this method doesn't throw if the JSON field has an unexpected type.

• _inferenceIdColumnName

   final JsonField<String> _inferenceIdColumnName()

  Returns the raw JSON value of inferenceIdColumnName.

  Unlike inferenceIdColumnName, this method doesn't throw if the JSON field has an unexpected type.

• _latencyColumnName

   final JsonField<String> _latencyColumnName()

  Returns the raw JSON value of latencyColumnName.

  Unlike latencyColumnName, this method doesn't throw if the JSON field has an unexpected type.

• _predictionsColumnName

   final JsonField<String> _predictionsColumnName()

  Returns the raw JSON value of predictionsColumnName.

  Unlike predictionsColumnName, this method doesn't throw if the JSON field has an unexpected type.

• _targetColumnName

   final JsonField<String> _targetColumnName()

  Returns the raw JSON value of targetColumnName.

  Unlike targetColumnName, this method doesn't throw if the JSON field has an unexpected type.

• _timestampColumnName

   final JsonField<String> _timestampColumnName()

  Returns the raw JSON value of timestampColumnName.

  Unlike timestampColumnName, this method doesn't throw if the JSON field has an unexpected type.

• _additionalProperties

   final Map<String, JsonValue> _additionalProperties()

• toBuilder

   final DataStreamParams.Config.TabularRegressionData.Builder toBuilder()

• validate

   final DataStreamParams.Config.TabularRegressionData validate()

  Validates that the types of all values in this object match their expected types recursively.

  This method is not forwards compatible with new types from the API for existing fields.

• isValid

   final Boolean isValid()

• equals

   Boolean equals(Object other)

• hashCode

   Integer hashCode()

• toString

   String toString()

• builder

   final static DataStreamParams.Config.TabularRegressionData.Builder builder()

  Returns a mutable builder for constructing an instance of TabularRegressionData.