[BUG] HashingVectorizer docstring example is broken

[dcolinmorgan]

Describe the bug feature_extraction HashingVectorizer demo does not work due to limited auto-coercions on L53. commenting out line 53 makes single column cudf and pandas dataframe accepted, not to mention native python df like in the example

Steps/Code to reproduce bug

from cuml.feature_extraction.text import HashingVectorizer
        corpus = [
            'This is the first document.',
            'This document is the second document.',
            'And this is the third one.',
            'Is this the first document?',
        ]
        vectorizer = HashingVectorizer(n_features=2**4)
        X = vectorizer.fit_transform(corpus)
        print(X.shape)

Expected behavior ValueError: cudf.Series([str]) expected ,got <class 'list'>

Environment details (please complete the following information):

• Environment location: [cuda 22.04, 22.06 and 22.10 envs]
• Linux Distro/Architecture: [aws, paperspace and sagemaker, respectively]
• CUDA: [,Build cuda_11.8.r11.8/compiler.31833905_0 for 22.10]
• Method of cuDF & cuML install: [conda]

• packages in environment at /home/studio-lab-user/.conda/envs/rapids-22.10:

  #

  Name Version Build Channel

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pyhd8ed1ab_0 conda-forge blosc 1.21.1 h83bc5f7_3 conda-forge bokeh 2.4.3 pyhd8ed1ab_3 conda-forge boost 1.78.0 py39h7c9e3ff_4 conda-forge boost-cpp 1.78.0 h75c5d50_1 conda-forge branca 0.6.0 pyhd8ed1ab_0 conda-forge brotli 1.0.9 h166bdaf_8 conda-forge brotli-bin 1.0.9 h166bdaf_8 conda-forge brotlipy 0.7.0 py39hb9d737c_1005 conda-forge brunsli 0.1 h9c3ff4c_0 conda-forge bzip2 1.0.8 h7f98852_4 conda-forge c-ares 1.18.1 h7f98852_0 conda-forge c-blosc2 2.4.3 h7a311fb_0 conda-forge ca-certificates 2022.9.24 ha878542_0 conda-forge cachetools 5.2.0 pyhd8ed1ab_0 conda-forge cairo 1.16.0 ha61ee94_1014 conda-forge certifi 2022.9.24 pyhd8ed1ab_0 conda-forge cffi 1.15.1 py39he91dace_2 conda-forge cfitsio 4.2.0 hd9d235c_0 conda-forge charls 2.3.4 h9c3ff4c_0 conda-forge charset-normalizer 2.1.1 pyhd8ed1ab_0 conda-forge click 8.1.3 unix_pyhd8ed1ab_2 conda-forge click-plugins 1.1.1 py_0 conda-forge cligj 0.7.2 pyhd8ed1ab_1 conda-forge cloudpickle 2.2.0 pyhd8ed1ab_0 conda-forge colorama 0.4.6 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[beckernick]

Thanks for flagging this documentation issue. We'll evaluate the feasibility of accepting lists. In the short term, we can update the documentation to fix this example.