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another typo
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src/openml.jl

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@@ -188,7 +188,7 @@ used to coerce the data further.
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For data with more than 2000 features (columns) `parser = :csv` is used always,
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because `parser = :openml` can be much slower.
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Extra `kwargs` are passed to the CSV parser, `CSV.File(...)`.
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Extra `kwargs` are passed to the CSV parser, `CSV.File(...)`.
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Returns a table.
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@@ -336,35 +336,37 @@ qualitynames(x) = haskey(x, "name") ? [x["name"]] : []
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Lists all active OpenML datasets, if `tag = nothing` (default).
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To list only datasets with a given tag, choose one of the tags in [`list_tags()`](@ref).
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An alternative `output_format` can be chosen, e.g. `DataFrame`, if the
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`DataFrames` package is loaded.
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`DataFrames` package is loaded.
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A filter is a string of data_quality/range or data_quality/value
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A filter is a string of `<data quality>/<range>` or `<data quality>/<value>`
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pairs, concatenated using `/`, such as
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```julia
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filter = "filters="number_features/10/number_instances/500..10000"
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filter = "number_features/10/number_instances/500..10000"
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```
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The allowed data qualities include `tag`, `status`, `limit`, `offset`,
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`data_id`, `data_name`, `data_version`, `uploader`,
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`number_instances`, `number_features`, `number_classes`,
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`number_missing_values`.
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For more on the format and effect of `filters` see [openml
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For more on the format and effect of `filters` refer to the [openml
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API](https://www.openml.org/api_docs#!/data/get_data_list_filters).
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# Examples
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```
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julia> using DataFrames
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julia> ds = MLJOpenML.list_datasets(tag = "OpenML100",
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filter = "number_instances/100..1000/number_features/1..10",
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output_format = DataFrame)
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julia> ds = MLJOpenML.list_datasets(
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tag = "OpenML100",
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filter = "number_instances/100..1000/number_features/1..10",
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output_format = DataFrame
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)
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julia> sort!(ds, :NumberOfFeatures)
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```
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"""
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function list_datasets(; tag = nothing, filter = "", filters=filter,
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function list_datasets(; tag = nothing, filter = "", filters=filter,
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api_key = "", output_format = NamedTuple)
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if tag !== nothing
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if is_valid_tag(tag)

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