Hi Guys,
We are fitting a Logistic model using the following code.
val Chisqselector = new
ChiSqSelector().setNumTopFeatures(10).setFeaturesCol("VECTOR_1").setLabelCol("TARGET").setOutputCol("selectedFeatures")
val assembler = new VectorAssembler().setInputCols(Array("FEATURES",
"selectedFeatures", "PROM_MESES_DIST", "RECENCIA", "TEMP_MIN", "TEMP_MAX",
"PRECIPITACIONES")).setOutputCol("Union")
val lr = new LogisticRegression().setLabelCol("TARGET").setFeaturesCol("Union")
val pipeline = new Pipeline().setStages(Array(Chisqselector, assembler, lr))
do you know why the coeff for the following features are zero estimate, is it
produced in ChisqSelector or Logistic model?
Thanks in advance!!
CODIGOPARAMETROCOEFICIENTES_MUESTREO_BALANCEADO
PROPIASCV_UM0,276866756
PROPIASCV_U3M-0,241851427
PROPIASCV_U6M-0,568312819
PROPIASCV_U12M0,134706601
PROPIASM_UM5,47E-06
PROPIASM_U3M-7,10E-06
PROPIASM_U6M1,73E-05
PROPIASM_U12M-5,41E-06
PROPIASCP_UM-0,050750105
PROPIASCP_U3M0,125483162
PROPIASCP_U6M-0,353906788
PROPIASCP_U12M0,159538155
PROPIASTUM-0,020217902
PROPIASTU3M0,002101906
PROPIASTU6M-0,005481915
PROPIASTU12M0,003443081
CRUZADAS23030
CRUZADAS39010
CRUZADAS39050
CRUZADAS39070
CRUZADAS39090
CRUZADAS41020
CRUZADAS43070
CRUZADAS45010
CRUZADAS49070,247624087
CRUZADAS5304-0,161424508
LPPROM_MESES_DIST-0,680356554
PROPIASRECENCIA-0,00289069
EXTERNASTEMP_MIN0,006488683
EXTERNASTEMP_MAX-0,013497441
EXTERNASPRECIPITACIONES-0,007607086
INTERCEPTO2,401593191
