refactor(workflow-operator): extract shared Sklearn descriptor base #6048
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you 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. | ||
| */ | ||
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| package org.apache.texera.amber.operator.sklearn | ||
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| import com.fasterxml.jackson.annotation.{JsonIgnore, JsonProperty, JsonPropertyDescription} | ||
| import com.kjetland.jackson.jsonSchema.annotations.{ | ||
| JsonSchemaInject, | ||
| JsonSchemaInt, | ||
| JsonSchemaString, | ||
| JsonSchemaTitle | ||
| } | ||
| import org.apache.texera.amber.core.tuple.{AttributeType, Schema} | ||
| import org.apache.texera.amber.pybuilder.PyStringTypes.EncodableString | ||
| import org.apache.texera.amber.core.workflow.PortIdentity | ||
| import org.apache.texera.amber.operator.PythonOperatorDescriptor | ||
| import org.apache.texera.amber.operator.metadata.annotations.{ | ||
| AutofillAttributeName, | ||
| CommonOpDescAnnotation, | ||
| HideAnnotation | ||
| } | ||
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| abstract class SklearnModelOpDesc extends PythonOperatorDescriptor { | ||
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| @JsonSchemaTitle("Target Attribute") | ||
| @JsonPropertyDescription("Attribute in your dataset corresponding to target.") | ||
| @JsonProperty(required = true) | ||
| @AutofillAttributeName | ||
| var target: EncodableString = _ | ||
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| @JsonSchemaTitle("Count Vectorizer") | ||
| @JsonPropertyDescription("Convert a collection of text documents to a matrix of token counts.") | ||
| @JsonProperty(defaultValue = "false") | ||
| var countVectorizer: Boolean = false | ||
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| @JsonSchemaTitle("Text Attribute") | ||
| @JsonPropertyDescription("Attribute in your dataset with text to vectorize.") | ||
| @JsonSchemaInject( | ||
| strings = Array( | ||
| new JsonSchemaString( | ||
| path = CommonOpDescAnnotation.autofill, | ||
| value = CommonOpDescAnnotation.attributeName | ||
| ), | ||
| new JsonSchemaString(path = HideAnnotation.hideTarget, value = "countVectorizer"), | ||
| new JsonSchemaString(path = HideAnnotation.hideType, value = HideAnnotation.Type.equals), | ||
| new JsonSchemaString(path = HideAnnotation.hideExpectedValue, value = "false") | ||
| ), | ||
| ints = Array( | ||
| new JsonSchemaInt(path = CommonOpDescAnnotation.autofillAttributeOnPort, value = 0) | ||
| ) | ||
| ) | ||
| var text: EncodableString = _ | ||
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| @JsonSchemaTitle("Tfidf Transformer") | ||
| @JsonPropertyDescription("Transform a count matrix to a normalized tf or tf-idf representation.") | ||
| @JsonProperty(defaultValue = "false") | ||
| @JsonSchemaInject( | ||
| strings = Array( | ||
| new JsonSchemaString(path = HideAnnotation.hideTarget, value = "countVectorizer"), | ||
| new JsonSchemaString(path = HideAnnotation.hideType, value = HideAnnotation.Type.equals), | ||
| new JsonSchemaString(path = HideAnnotation.hideExpectedValue, value = "false") | ||
| ) | ||
| ) | ||
| var tfidfTransformer: Boolean = false | ||
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| @JsonIgnore | ||
| def getImportStatements: String | ||
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| @JsonIgnore | ||
| def getUserFriendlyModelName: String | ||
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| override def getOutputSchemas( | ||
| inputSchemas: Map[PortIdentity, Schema] | ||
| ): Map[PortIdentity, Schema] = { | ||
| Map( | ||
| operatorInfo.outputPorts.head.id -> Schema() | ||
| .add("model_name", AttributeType.STRING) | ||
| .add("model", AttributeType.BINARY) | ||
| ) | ||
| } | ||
| } |
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This string should be empty since it gets overridden anyway. The placeholder was introduced by mistake in the first place.