kitkatdafu
commited on
Commit
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9952ea4
1
Parent(s):
3197c10
update
Browse files- jester_rating.py +19 -14
jester_rating.py
CHANGED
@@ -1,7 +1,7 @@
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import pandas as pd
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import datasets
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from
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_CITATION = "N/A"
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_DESCRIPTION = "N/A"
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@@ -58,33 +58,38 @@ class JesterEmbedding(datasets.GeneratorBasedBuilder):
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]
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def _generate_examples(self, filepath, split):
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train_idx, test_idx = x
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test_ratings_df = ratings_df.iloc[test_idx]
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for
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if split == "train":
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for _id, row in
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user_id, item_id, rating = row
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user_id, item_id = int(user_id), int(item_id)
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yield _id, {"user_id": user_id, "item_id": item_id, "rating": rating}
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elif split == "test":
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for _id, row in
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user_id, item_id, rating = row
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user_id, item_id = int(user_id), int(item_id)
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yield _id, {"user_id": user_id, "item_id": item_id, "rating": rating}
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else:
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for _id, row in
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user_id, item_id, rating = row
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user_id, item_id = int(user_id), int(item_id)
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yield _id, {"user_id": user_id, "item_id": item_id, "rating": rating}
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import pandas as pd
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import datasets
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from sklearn.model_selection import train_test_split
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import numpy as np
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_CITATION = "N/A"
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_DESCRIPTION = "N/A"
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]
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def _generate_examples(self, filepath, split):
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df = pd.read_parquet(filepath)
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rng = np.random.RandomState(42)
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train_df, test_df, val_df = [], [], []
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for user_id in df.user_id.unique():
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if len(df[df.user_id == user_id]) < 3:
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continue
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_train_df, _test_df = train_test_split(df[df.user_id == user_id], test_size=0.2, random_state=rng)
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_train_df, _val_df = train_test_split(_train_df, test_size=0.2, random_state=rng)
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train_df.append(_train_df)
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val_df.append(_val_df)
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test_df.append(_test_df)
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train_df = pd.concat(train_df)
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test_df = pd.concat(test_df)
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val_df = pd.concat(val_df)
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if split == "train":
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for _id, row in train_df.iterrows():
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user_id, item_id, rating = row
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user_id, item_id = int(user_id), int(item_id)
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yield _id, {"user_id": user_id, "item_id": item_id, "rating": rating}
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elif split == "test":
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for _id, row in test_df.iterrows():
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user_id, item_id, rating = row
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user_id, item_id = int(user_id), int(item_id)
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yield _id, {"user_id": user_id, "item_id": item_id, "rating": rating}
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else:
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for _id, row in val_df.iterrows():
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user_id, item_id, rating = row
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user_id, item_id = int(user_id), int(item_id)
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yield _id, {"user_id": user_id, "item_id": item_id, "rating": rating}
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