altescy

from __future__ import annotations

import functools
import os
import re
import sys
import time
from collections.abc import Sized
from typing import Any, Callable, ClassVar, Generic, Iterable, Iterator, TextIO, TypeVar, cast

t8da

import pandas as pd
import numpy as np
from itertools import combinations
import multiprocessing as mp
from sklearn.base import BaseEstimator, TransformerMixin

def _hashed_rows(x):
    y = np.zeros(x.shape[0])
    v = x.values # to avoid __getattr__
    for i in range(x.shape[0]):

jeremyjordan

from keras.callbacks import Callback
import keras.backend as K
import numpy as np

class SGDRScheduler(Callback):
    '''Cosine annealing learning rate scheduler with periodic restarts.

    # Usage
        ```python
            schedule = SGDRScheduler(min_lr=1e-5,

9bic

#cloud-config

users:
  - name: cloudservice
    groups: docker
    uid: 2000

write_files:
  - path: /home/cloudservice/currentdir/gcloud-sdk-setup
    permissions: '0644'

BrikerMan

from gensim.models import KeyedVectors

# Load gensim word2vec
w2v_path = '<Gensim File Path>'
w2v = KeyedVectors.load_word2vec_format(w2v_path)

import io

# Vector file, `\t` seperated the vectors and `\n` seperate the words
"""