lossrider 0.0.3

A plotting library that create Line Rider maps

Loss Rider

Finally, a Python plotting library that can (only) output Line Rider maps!

ML practitioners can experience gradient descent like never before!

With support for all important features of a line graph.

And don't forget interactive plotting in Jupyter Notebooks!

The above plots all use data from the Unit-Scaled Maximal Update Parameterization paper which proposes a more usable version of μP.

Installation

pip install lossrider

Usage

import pandas as pd
from lossrider import lossrider

# Load a csv that contains columns named "Validation Loss", "Run Count" and "model_type"
data = pd.read_csv("./_data/sweep_df.csv")

# Plot it!
lossrider(
    data,
    x="Run Count", 
    y="Validation Loss",
    hue="model_type",
    xlim=(0.6, 340),
    ylim=(3.2, 3.8),
    xticks=(1, 10, 100), 
    yticks=[x/10 for x in range(32, 39)],
    width=1000, height=500, fontsize=30,
    logx=True, grid=False,
    legend=True, legend_loc=(.65, 1),
    outfile='maps/sweep_strategies',
)

The above produces the below plot