8000 DOC Typos found by codespell (#21069) · scikit-learn/scikit-learn@f71c031 · GitHub
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DOC Typos found by codespell (#21069)
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  • examples
  • setup.py
  • sklearn

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    ‎benchmarks/bench_mnist.py

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    @@ -6,7 +6,7 @@
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    Benchmark on the MNIST dataset. The dataset comprises 70,000 samples
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    and 784 features. Here, we consider the task of predicting
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    10 classes - digits from 0 to 9 from their raw images. By contrast to the
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    covertype dataset, the feature space is homogenous.
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    covertype dataset, the feature space is homogeneous.
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    Example of output :
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    [..]

    ‎benchmarks/bench_random_projections.py

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    @@ -43,10 +43,10 @@ def compute_time(t_start, delta):
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    return delta.seconds + delta.microseconds / mu_second
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    def bench_scikit_transformer(X, transfomer):
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    def bench_scikit_transformer(X, transformer):
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    gc.collect()
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    clf = clone(transfomer)
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    clf = clone(transformer)
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    # start time
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    t_start = datetime.now()
    @@ -195,7 +195,7 @@ def print_row(clf_type, time_fit, time_transform):
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    ###########################################################################
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    n_nonzeros = int(opts.ratio_nonzeros * opts.n_features)
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    print("Dataset statics")
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    print("Dataset statistics")
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    print("===========================")
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    print("n_samples \t= %s" % opts.n_samples)
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    print("n_features \t= %s" % opts.n_features)

    ‎build_tools/azure/posix-docker.yml

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    @@ -39,7 +39,7 @@ jobs:
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    ${{ insert }}: ${{ parameters.matrix }}
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    steps:
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    # Container is detached and sleeping, allowing steps to run commmands
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    # Container is detached and sleeping, allowing steps to run commands
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    # in the container. The TEST_DIR is mapped allowing the host to access
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    # the JUNITXML file
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    - script: >

    ‎build_tools/circle/list_versions.py

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    @@ -34,7 +34,7 @@ def human_readable_data_quantity(quantity, multiple=1024):
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    def get_file_extension(version):
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    if "dev" in version:
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    # The 'dev' branch should be explictly handled
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    # The 'dev' branch should be explicitly handled
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    return "zip"
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    current_version = LooseVersion(version)

    ‎build_tools/shared.sh

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    @@ -5,7 +5,7 @@ get_dep() {
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    # do not install with none
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    echo
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    elif [[ "${version%%[^0-9.]*}" ]]; then
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    # version number is explicity passed
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    # version number is explicitly passed
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    echo "$package==$version"
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    elif [[ "$version" == "latest" ]]; then
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    # use latest

    ‎doc/common_pitfalls.rst

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    @@ -560,7 +560,7 @@ bad performance. Similarly, we want a random forest to be robust w.r.t the
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    set of randomly selected features that each tree will be using.
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    For these reasons, it is preferable to evaluate the cross-validation
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    preformance by letting the estimator use a different RNG on each fold. This
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    performance by letting the estimator use a different RNG on each fold. This
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    is done by passing a `RandomState` instance (or `None`) to the estimator
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    initialization.
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    ‎doc/conf.py

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    @@ -240,7 +240,7 @@
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    "release_highlights"
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    ] = f"auto_examples/release_highlights/{latest_highlights}"
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    # get version from higlight name assuming highlights have the form
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    # get version from highlight name assuming highlights have the form
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    # plot_release_highlights_0_22_0
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    highlight_version = ".".join(latest_highlights.split("_")[-3:-1])
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    html_context["release_highlights_version"] = highlight_version

    ‎doc/developers/advanced_installation.rst

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    @@ -374,7 +374,7 @@ isolation from the Python packages installed via the system packager. When
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    using an isolated environment, ``pip3`` should be replaced by ``pip`` in the
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    above commands.
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    When precompiled wheels of the runtime dependencies are not avalaible for your
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    When precompiled wheels of the runtime dependencies are not available for your
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    architecture (e.g. ARM), you can install the system versions:
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    .. prompt:: bash $

    ‎doc/developers/contributing.rst

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    @@ -1004,7 +1004,7 @@ installed in your current Python environment:
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    asv run --python=same
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    It's particulary useful when you installed scikit-learn in editable mode to
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    It's particularly useful when you installed scikit-learn in editable mode to
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    avoid creating a new environment each time you run the benchmarks. By default
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    the results are not saved when using an existing installation. To save the
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    results you must specify a commit hash:

    ‎doc/developers/maintainer.rst

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    @@ -33,7 +33,7 @@ Before a release
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    - ``maint_tools/sort_whats_new.py`` can put what's new entries into
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    sections. It's not perfect, and requires manual checking of the changes.
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    If the whats new list is well curated, it may not be necessary.
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    If the what's new list is well curated, it may not be necessary.
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    - The ``maint_tools/whats_missing.sh`` script may be used to identify pull
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    requests that were merged but likely missing from What's New.
    @@ -198,7 +198,7 @@ Making a release
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    `Continuous Integration
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    <https://en.wikipedia.org/wiki/Continuous_integration>`_. The CD workflow on
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    GitHub Actions is also used to automatically create nightly builds and
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    publish packages for the developement branch of scikit-learn. See
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    publish packages for the development branch of scikit-learn. See
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    :ref:`install_nightly_builds`.
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    4. Once all the CD jobs have completed successfully in the PR, merge it,

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