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Datasets:
mstz
/
iris

Tasks:
Tabular Classification
Languages:
English
Tags:
iris
tabular_classification
binary_classification
multiclass_classification
UCI
License:
Dataset card Files Community
mstz commited on
Commit
8f1806a
·
1 Parent(s): 7456953

Update iris.py

Browse files
Files changed (1) hide show
  1. iris.py +16 -16
iris.py CHANGED
@@ -34,31 +34,31 @@ urls_per_split = {
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  }
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  features_types_per_config = {
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  "iris": {
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- "sepal_length": datasets.Value("float16"),
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- "sepal_width": datasets.Value("float16"),
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- "petal_length": datasets.Value("float16"),
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- "petal_width": datasets.Value("float16"),
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  "class": datasets.ClassLabel(num_classes=3, names=("setosa", "versicolor", "virginica"))
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  },
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  "setosa": {
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- "sepal_length": datasets.Value("float16"),
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- "sepal_width": datasets.Value("float16"),
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- "petal_length": datasets.Value("float16"),
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- "petal_width": datasets.Value("float16"),
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  "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
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  },
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  "versicolor": {
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- "sepal_length": datasets.Value("float16"),
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- "sepal_width": datasets.Value("float16"),
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- "petal_length": datasets.Value("float16"),
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- "petal_width": datasets.Value("float16"),
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  "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
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  },
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  "virginica": {
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- "sepal_length": datasets.Value("float16"),
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- "sepal_width": datasets.Value("float16"),
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- "petal_length": datasets.Value("float16"),
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- "petal_width": datasets.Value("float16"),
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  "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
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  }
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  }
 
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  }
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  features_types_per_config = {
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  "iris": {
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+ "sepal_length": datasets.Value("float64"),
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+ "sepal_width": datasets.Value("float64"),
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+ "petal_length": datasets.Value("float64"),
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+ "petal_width": datasets.Value("float64"),
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  "class": datasets.ClassLabel(num_classes=3, names=("setosa", "versicolor", "virginica"))
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  },
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  "setosa": {
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+ "sepal_length": datasets.Value("float64"),
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+ "sepal_width": datasets.Value("float64"),
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+ "petal_length": datasets.Value("float64"),
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+ "petal_width": datasets.Value("float64"),
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  "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
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  },
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  "versicolor": {
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+ "sepal_length": datasets.Value("float64"),
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+ "sepal_width": datasets.Value("float64"),
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+ "petal_length": datasets.Value("float64"),
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+ "petal_width": datasets.Value("float64"),
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  "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
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  },
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  "virginica": {
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+ "sepal_length": datasets.Value("float64"),
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+ "sepal_width": datasets.Value("float64"),
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+ "petal_length": datasets.Value("float64"),
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+ "petal_width": datasets.Value("float64"),
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  "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
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  }
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  }