Failure to create a pmml file when using CountVectorizer with analyzer = 'char'

[elsayedrashed]

Hi,

Unable to create the PMML model for the following pipeline:

vectorizer = CountVectorizer(analyzer="char", ngram_range=(1,2))
classifier = LogisticRegression(multi_class="multinomial", solver="lbfgs", max_iter=1000)

pipeline = PMMLPipeline(steps=[
    ('vectorizer', vectorizer),
    ('classifier', classifier)], verbose=True)

Error:

Standard output is empty
Standard error:
Exception in thread "main" java.lang.IllegalArgumentException: char
	at sklearn.feature_extraction.text.CountVectorizer.encodeDefineFunction(CountVectorizer.java:150)
	at sklearn.feature_extraction.text.CountVectorizer.encodeFeatures(CountVectorizer.java:112)
	at sklearn.Transformer.encode(Transformer.java:70)
	at sklearn.Composite.encodeFeatures(Composite.java:119)
	at sklearn2pmml.pipeline.PMMLPipeline.encodePMML(PMMLPipeline.java:154)
	at com.sklearn2pmml.Main.run(Main.java:91)
	at com.sklearn2pmml.Main.main(Main.java:66

RuntimeError: The SkLearn2PMML application has failed. The Java executable should have printed more information about the failure into its standard output and/or standard error streams

[vruusmann]

Closing as duplicate of #202