Datasets:

mstz
/

lrs

Tasks:

Tabular Classification

Modalities:

Languages:

Size:

Tags:

tabular_classification

binary_classification

multiclass_classification

Libraries:

License:

Dataset card Viewer Files Files and versions Community

mstz commited on Apr 12, 2023

Commit

09944b2

•

1 Parent(s): 9807a27

Upload lrs.py

Files changed (1) hide show

lrs.py +1 -0

lrs.py CHANGED Viewed

@@ -1109,6 +1109,7 @@ class Lrs(datasets.GeneratorBasedBuilder):
 	def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
 		data.drop("ID-type", axis="columns", inplace=True)
 		data = data[list(features_types_per_config["lrs"].keys())]
 		data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: x if x < 10 else x // 10)
 		if self.config.name == "lrs_0":

 	def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
 		data.drop("ID-type", axis="columns", inplace=True)
 		data = data[list(features_types_per_config["lrs"].keys())]
+		print(data["lrs_class"].apply(lambda x: x if x < 10 else x // 10).unique())
 		data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: x if x < 10 else x // 10)
 		if self.config.name == "lrs_0":