zero-one.geni.interop — zero.one/geni 0.0.40

->clojure clj

(->clojure value)

->dense-vector clj

(->dense-vector values)

->java clj

(->java cls value)

->java-list clj

(->java-list coll)

->scala-function0 clj

(->scala-function0 f)

->scala-function1 clj

(->scala-function1 f)

->scala-function2 clj

(->scala-function2 f)

->scala-function3 clj

(->scala-function3 f)

->scala-seq clj

(->scala-seq coll)

->scala-tuple2 clj

(->scala-tuple2 coll)

->spark-row clj

(->spark-row x)

->sparse-vector clj

(->sparse-vector size indices values)

array? clj

(array? value)

convert-keywords clj

(convert-keywords value)

dense clj

(dense & values)

Params: (firstValue: Double, otherValues: Double*)

Result: Vector

Creates a dense vector from its values.

Source: https://spark.apache.org/docs/3.0.1/api/scala/org/apache/spark/ml/linalg/Vectors$.html

Timestamp: 2020-10-19T01:56:35.334Z

dense-matrix? clj

(dense-matrix? value)

dense-vector? clj

(dense-vector? value)

fields-map clj

(fields-map cls)

get-field clj

(get-field instance field-keyword)

instantiate clj

(instantiate cls props)

iterable? clj

(iterable? value)

matrix->seqs clj

(matrix->seqs matrix)

method-keyword clj

(method-keyword method)

optional->nillable clj

(optional->nillable value)

row clj

(row & values)

Params: (values: Seq[Any])

Result: Row

Source: https://spark.apache.org/docs/3.0.1/api/scala/org/apache/spark/sql/Row$.html

Timestamp: 2020-10-19T01:56:24.277Z

scala-map->map clj

(scala-map->map m)

scala-map? clj

(scala-map? value)

scala-seq->vec clj

(scala-seq->vec scala-seq)

scala-seq? clj

(scala-seq? value)

scala-tuple->vec clj

(scala-tuple->vec p)

scala-tuple2? clj

(scala-tuple2? value)

scala-tuple3? clj

(scala-tuple3? value)

set-value clj

(set-value method instance value)

setter-type clj

(setter-type method)

setter? clj

(setter? method)

setters-map clj

(setters-map cls)

spark-conf->map clj

(spark-conf->map conf)

spark-row->map clj

(spark-row->map row)

spark-row? clj

(spark-row? value)

sparse clj

Params: (size: Int, indices: Array[Int], values: Array[Double])

Result: Vector

Creates a sparse vector providing its index array and value array.

vector size.

index array, must be strictly increasing.

value array, must have the same length as indices.

Source: https://spark.apache.org/docs/3.0.1/api/scala/org/apache/spark/ml/linalg/Vectors$.html

Timestamp: 2020-10-19T01:56:35.350Z

sparse-vector->seq clj

(sparse-vector->seq spark-sparse-vector)

sparse-vector? clj

(sparse-vector? value)

vector->seq clj

(vector->seq spark-vector)

with-scala-out-str clj macro

(with-scala-out-str & body)

zero-arity? clj

(zero-arity? method)