philipphager

# Dependencies to install. Pandas for dataframes, pyarrow to support the .parquet file format.
# pip install pandas
# pip install pyarrow

# Load a downloaded dataset from file:
train_df = pd.read_parquet("mslr_train.parquet")
train_df.head()

# The dataset contains 136 features per query-document (columns starting with 'feature_*')
# E.g. one way to select all columns starting with 'feature_'

philipphager

# Dependencies to install: Pandas for dataframes, pyarrow to support the feather file format.
# pip install pandas
# pip install pyarrow

# Load a downloaded dataset from file:
train_df = pd.read_feather("train.feather")
train_df.head()

# The dataset contains 220 features per query-document (columns starting with 'feature_*')
# Here is one of many ways to select all columns starting with 'feature_'

philipphager

def theme():
    return {
        "config": {
             "title": {
                "font": "serif",
                "fontWeight": "normal",
                "fontSize": 16,
            },
            "axis": {
                "titleFont": "serif",

philipphager

philipphager