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tech.ml.dataset.pipeline.pipeline-operators

*pipeline-context*clj

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*pipeline-env*clj

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*pipeline-training?*clj

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->datatypeclj

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assoc-metadataclj

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def-multiple-column-etl-operatorcljmacro

(def-multiple-column-etl-operator op-symbol docstring op-context-code op-code)
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def-single-column-etl-operatorcljmacro

(def-single-column-etl-operator op-symbol docstring op-context-code op-code)
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default-etl-context-columnsclj

(default-etl-context-columns op dataset column-name-seq op-args)

Default implementation of build-etl-context-columns

Default implementation of build-etl-context-columns
sourceraw docstring

default-perform-etl-columnsclj

(default-perform-etl-columns op dataset column-name-seq op-args context)
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filterclj

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impute-missingclj

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inline-perform-operatorclj

(inline-perform-operator etl-op dataset column-filter op-args)
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m=clj

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one-hotclj

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pcaclj

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pifclj

(pif dataset bool-expr pipe-when-true pipe-when-false)
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pipeline-inference-contextcljmacro

(pipeline-inference-context train-context & body)
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pipeline-train-contextcljmacro

(pipeline-train-context & body)
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pwhenclj

(pwhen dataset bool-expr pipe-when-true)
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range-scalerclj

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read-varclj

(read-var varname)
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remove-columnsclj

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replaceclj

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replace-missingclj

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std-scalerclj

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store-variablesclj

(store-variables dataset varmap-fn)
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string->numberclj

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training?clj

(training?)
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update-columnclj

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without-recordingcljmacro

(without-recording & body)
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