2276790628

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github

Committed by GitHub

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Pull Request Pull Request #8083: Release/344 release candidate

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/src/main/scala/com/johnsnowlabs/nlp/HasClassifierActivationProperties.scala

/*
 * Copyright 2017-2022 John Snow Labs
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.johnsnowlabs.nlp

import org.apache.spark.ml.param.Param

trait HasClassifierActivationProperties extends ParamsAndFeaturesWritable {

  /** Whether to enable caching DataFrames or RDDs during the training
    *
    * @group param
    */
  val activation: Param[String] = new Param(
    this,
    "activation",
    "Whether to calculate logits via Softmax or Sigmoid. Default is Softmax")

  setDefault(activation, ActivationFunction.softmax)

  /** @group getParam */
  def getActivation: String = $(activation)

  /** @group setParam */
  def setActivation(value: String): this.type = {

    value match {
      case ActivationFunction.softmax =>
        set(this.activation, ActivationFunction.softmax)
      case ActivationFunction.sigmoid =>
        set(this.activation, ActivationFunction.sigmoid)
      case _ =>
        set(this.activation, ActivationFunction.softmax)
    }

  }
}

object ActivationFunction {

  val softmax = "softmax"
  val sigmoid = "sigmoid"

}

1	/*
2	* Copyright 2017-2022 John Snow Labs
3	*
4	* Licensed under the Apache License, Version 2.0 (the "License");
5	* you may not use this file except in compliance with the License.
6	* You may obtain a copy of the License at
7	*
8	* http://www.apache.org/licenses/LICENSE-2.0
9	*
10	* Unless required by applicable law or agreed to in writing, software
11	* distributed under the License is distributed on an "AS IS" BASIS,
12	* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13	* See the License for the specific language governing permissions and
14	* limitations under the License.
15	*/
16
17	package com.johnsnowlabs.nlp
18
19	import org.apache.spark.ml.param.Param
20
21	trait HasClassifierActivationProperties extends ParamsAndFeaturesWritable {
22
23	/** Whether to enable caching DataFrames or RDDs during the training
24	*
25	* @group param
26	*/
27	val activation: Param[String] = new Param(	×
28	this,
29	"activation",	×
30	"Whether to calculate logits via Softmax or Sigmoid. Default is Softmax")	×
31
32	setDefault(activation, ActivationFunction.softmax)	×
33
34	/** @group getParam */
35	def getActivation: String = $(activation)	×
36
37	/** @group setParam */
38	def setActivation(value: String): this.type = {
39
40	value match {
41	case ActivationFunction.softmax =>
42	set(this.activation, ActivationFunction.softmax)	×
43	case ActivationFunction.sigmoid =>
44	set(this.activation, ActivationFunction.sigmoid)	×
45	case _ =>
46	set(this.activation, ActivationFunction.softmax)	×
47	}
48
49	}
50	}
51
52	object ActivationFunction {
53
54	val softmax = "softmax"	×
55	val sigmoid = "sigmoid"	×
56
57	}

JohnSnowLabs / spark-nlp / 2276790628

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