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DatAnalyzer
  • Index

Index

C | D | F | I | M | P | R | S | T

C

  • CleanData (class in DatAnalyzer.pipeline.cleaners)

D

  • Data_Formating (class in DatAnalyzer.pipeline.formatters)
  • DatAnalyzer
    • module
  • DatAnalyzer.pipeline
    • module
  • DatAnalyzer.pipeline.cleaners
    • module
  • DatAnalyzer.pipeline.formatters
    • module
  • DatAnalyzer.pipeline.regression
    • module
  • DatAnalyzer.pipeline.transformers
    • module
  • drop_duplicated() (DatAnalyzer.pipeline.cleaners.CleanData method)

F

  • fit() (DatAnalyzer.pipeline.regression.RegressionModel method)
    • (DatAnalyzer.pipeline.transformers.SmoothData method)

I

  • import_data() (DatAnalyzer.pipeline.formatters.Data_Formating method)

M

  • missing_data() (DatAnalyzer.pipeline.cleaners.CleanData method)
  • module
    • DatAnalyzer
    • DatAnalyzer.pipeline
    • DatAnalyzer.pipeline.cleaners
    • DatAnalyzer.pipeline.formatters
    • DatAnalyzer.pipeline.regression
    • DatAnalyzer.pipeline.transformers

P

  • predict() (DatAnalyzer.pipeline.regression.RegressionModel method)

R

  • regression() (DatAnalyzer.pipeline.regression.RegressionModel method)
  • regression_results() (DatAnalyzer.pipeline.regression.RegressionModel method)
  • RegressionModel (class in DatAnalyzer.pipeline.regression)

S

  • SmoothData (class in DatAnalyzer.pipeline.transformers)
  • split_data() (DatAnalyzer.pipeline.regression.RegressionModel method)

T

  • transform() (DatAnalyzer.pipeline.transformers.SmoothData method)
  • type_of_preprocess() (DatAnalyzer.pipeline.transformers.SmoothData method)

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