jonhilgart22

def chunks(l, n):
    return [l[i:i+n] for i in range(0, len(l), n)]

def do_job(job_id, stock_pairs, data_slice):
    all_prediction_df = []
    prediction_for_upcoming_week(data_slice, stock_pairs, job_id=job_id)
    return pd.concat(all_prediction_df)


def dispatch_jobs(data, job_number, pairs):

jonhilgart22

# ds dev stuff 
data/
notebooks_dev/


# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

jonhilgart22

import json
import time
import zipfile
from typing import Dict, List, Optional, Tuple, Union
from zipfile import BadZipFile
from torch import nn
import torch
from transformers import AutoModel, AutoTokenizer, AutoConfig, T5Config
from sentence_transformers import SentenceTransformer
import sentence_transformers