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working against spark 3.5
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sonalgoyal committed Dec 7, 2023
1 parent 5833136 commit d65a135
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{"class":"org.apache.spark.ml.PipelineModel","timestamp":1701674810713,"sparkVersion":"3.2.4","uid":"pipeline_472d525c4d96","paramMap":{"stageUids":["vecAssembler_392e6c371afd","poly_5f7d19db85bb","logreg_0599a6d1a6e8"]},"defaultParamMap":{}}
{"class":"org.apache.spark.ml.PipelineModel","timestamp":1701935269659,"sparkVersion":"3.5.0","uid":"pipeline_ef4863a30a71","paramMap":{"stageUids":["vecAssembler_db5aa6ec46e8","poly_d046138373f8","logreg_29155e0bc876"]},"defaultParamMap":{}}
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{"class":"org.apache.spark.ml.feature.VectorAssembler","timestamp":1701935269808,"sparkVersion":"3.5.0","uid":"vecAssembler_db5aa6ec46e8","paramMap":{"outputCol":"z_featurevector","inputCols":["z_sim0","z_sim1","z_sim2","z_sim3","z_sim4","z_sim5","z_sim6","z_sim7","z_sim8","z_sim9","z_sim10","z_sim11","z_sim12","z_sim13","z_sim14","z_sim15","z_sim16","z_sim17","z_sim18","z_sim19"]},"defaultParamMap":{"outputCol":"vecAssembler_db5aa6ec46e8__output","handleInvalid":"error"}}
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{"class":"org.apache.spark.ml.feature.PolynomialExpansion","timestamp":1701935269935,"sparkVersion":"3.5.0","uid":"poly_d046138373f8","paramMap":{"degree":3,"inputCol":"z_featurevector","outputCol":"z_feature"},"defaultParamMap":{"degree":2,"outputCol":"poly_d046138373f8__output"}}
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{"class":"org.apache.spark.ml.classification.LogisticRegressionModel","timestamp":1701935270066,"sparkVersion":"3.5.0","uid":"logreg_29155e0bc876","paramMap":{"threshold":0.4,"featuresCol":"z_feature","maxIter":100,"fitIntercept":true,"probabilityCol":"z_probability","labelCol":"z_isMatch","regParam":1.0E-4,"predictionCol":"z_prediction"},"defaultParamMap":{"threshold":0.5,"tol":1.0E-6,"family":"auto","featuresCol":"features","fitIntercept":true,"standardization":true,"maxIter":100,"probabilityCol":"probability","elasticNetParam":0.0,"labelCol":"label","aggregationDepth":2,"maxBlockSizeInMB":0.0,"rawPredictionCol":"rawPrediction","predictionCol":"prediction","regParam":0.0}}
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{"class":"org.apache.spark.ml.Pipeline","timestamp":1701674810491,"sparkVersion":"3.2.4","uid":"pipeline_472d525c4d96","paramMap":{"stageUids":["vecAssembler_392e6c371afd","poly_5f7d19db85bb","logreg_0599a6d1a6e8"]},"defaultParamMap":{}}
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{"class":"org.apache.spark.ml.feature.VectorAssembler","timestamp":1701935269016,"sparkVersion":"3.5.0","uid":"vecAssembler_db5aa6ec46e8","paramMap":{"outputCol":"z_featurevector","inputCols":["z_sim0","z_sim1","z_sim2","z_sim3","z_sim4","z_sim5","z_sim6","z_sim7","z_sim8","z_sim9","z_sim10","z_sim11","z_sim12","z_sim13","z_sim14","z_sim15","z_sim16","z_sim17","z_sim18","z_sim19"]},"defaultParamMap":{"outputCol":"vecAssembler_db5aa6ec46e8__output","handleInvalid":"error"}}
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{"class":"org.apache.spark.ml.feature.PolynomialExpansion","timestamp":1701935269221,"sparkVersion":"3.5.0","uid":"poly_d046138373f8","paramMap":{"degree":3,"inputCol":"z_featurevector","outputCol":"z_feature"},"defaultParamMap":{"degree":2,"outputCol":"poly_d046138373f8__output"}}
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{"class":"org.apache.spark.ml.classification.LogisticRegression","timestamp":1701935269412,"sparkVersion":"3.5.0","uid":"logreg_29155e0bc876","paramMap":{"featuresCol":"z_feature","fitIntercept":true,"maxIter":100,"probabilityCol":"z_probability","labelCol":"z_isMatch","predictionCol":"z_prediction"},"defaultParamMap":{"threshold":0.5,"tol":1.0E-6,"family":"auto","featuresCol":"features","fitIntercept":true,"standardization":true,"maxIter":100,"probabilityCol":"probability","elasticNetParam":0.0,"labelCol":"label","aggregationDepth":2,"maxBlockSizeInMB":0.0,"rawPredictionCol":"rawPrediction","predictionCol":"prediction","regParam":0.0}}
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{"class":"org.apache.spark.ml.evaluation.BinaryClassificationEvaluator","timestamp":1701674810409,"sparkVersion":"3.2.4","uid":"binEval_b87d0024f52c","paramMap":{"labelCol":"z_isMatch"},"defaultParamMap":{"metricName":"areaUnderROC","labelCol":"label","numBins":1000,"rawPredictionCol":"rawPrediction"}}
{"class":"org.apache.spark.ml.evaluation.BinaryClassificationEvaluator","timestamp":1701935268619,"sparkVersion":"3.5.0","uid":"binEval_8c2e36c011b8","paramMap":{"labelCol":"z_isMatch"},"defaultParamMap":{"rawPredictionCol":"rawPrediction","numBins":1000,"metricName":"areaUnderROC","labelCol":"label"}}
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