moyix

#!/usr/bin/env python

import argparse
import torch
from transformers import GPTJForCausalLM, GPTJConfig
# Note: these need the git version of Transformers as of 7/22/2022
from transformers import CodeGenTokenizer, CodeGenForCausalLM
from transformers import CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST

parser = argparse.ArgumentParser('Convert SalesForce CodeGen model to GPT-J')

AayushSameerShah

def relative_root_mean_squared_error(true, pred):
    n = len(true) # update
    num = np.sum(np.square(true - pred)) / n  # update
    den = np.sum(np.square(pred))
    squared_error = num/den
    rrmse_loss = np.sqrt(squared_error)
    return rrmse_loss

AayushSameerShah

This is the data...

Title	Author	Pages
A man from sky	Aayush	334
I know, what miracle is.	Aayush	3134
album001	Sameer	134
How to feel happiness?	Sameer	534
The secrets of woderland	Sameer	834
An Adventurous Guy	Baa	1234

AayushSameerShah

plt.figure(figsize=(10, 6))
corr = df.corr()
mask = np.zeros_like(corr)
mask[np.triu_indices_from(mask)] = True

sns.heatmap(corr, mask=mask, square=True, cmap="Blues")