sh -c "$(curl -fsSL https://raw.githubusercontent.com/robbyrussell/oh-my-zsh/master/tools/install.sh)"
- Download zsh-autosuggestions by
{ | |
"embeddings": [ | |
{ | |
"tensorName": "Vector Search with pictures and queries", | |
"tensorShape": [ | |
3000, | |
128 | |
], | |
"tensorPath": "https://gist.githubusercontent.com/MariaFjodorowa/68277095197a798f8aa02c59f35df234/raw/28d4fda62828833834c59f19910f4c980e822d23/vecs_queries_prod.tsv", | |
"metadataPath": "https://gist.githubusercontent.com/MariaFjodorowa/f9db18927d1b6f45bf9d1e61ff56fa4b/raw/19025a9223c41e45ccebb35e82ab59ed2e7b1fc4/meta_queries_prod.tsv", |
{ | |
"embeddings": [ | |
{ | |
"tensorName": "My tensor", | |
"tensorShape": [ | |
1000, | |
50 | |
], | |
"tensorPath":"https://gist.githubusercontent.com/bhushanbrb/952a29e2cb046ae7b74e9ad7d2ca2972/raw/a1f528d5da44352a794cd8af373e72bb4d64188c/pred.tsv", | |
"metadataPath":"https://gist.githubusercontent.com/bhushanbrb/1c50fcf13f0eb034c1cb28b1607939ab/raw/573f15f926b672c3eb2cde849f02d3665a8d2be6/omsid.tsv" |
8 ft x 11 16 x 11 16 polymer outside corner moulding | |
blank house key | |
supreme undermount stainless steel 16 single bowl kitchen sink | |
9 16 x 1 5 8 x 8 ft pvc composite white crown moulding | |
coralai single handle pull sprayer kitchen faucet masterclean sprayface biscuit | |
mariposa 5 ft right hand drain acrylic soaking tub white | |
polyethylene side guide 10 pack | |
30 amp 600 volt dual element class rk5 fuse | |
signature drop stainless steel 25 4 hole single bowl kitchen sink 10 5 bowl | |
4 pvc dwv saddle tee kit |
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Sublime Text includes a command line tool, subl
, to work with files on the command line. This can be used to open files and projects in Sublime Text, as well working as an EDITOR for unix tools, such as git and subversion.
Applications
folderSetup
Sublime Text includes a command line tool, subl
, to work with files on the command line. This can be used to open files and projects in Sublime Text, as well working as an EDITOR for unix tools, such as git and subversion.
Applications
folderSetup
#%matplotlib notebook | |
%matplotlib inline | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from matplotlib import colors as c | |
import time | |
fig = plt.figure() | |
ax = fig.gca() |
from __future__ import division | |
import operator | |
from pyspark import SparkContext | |
from pyspark.sql import SQLContext | |
from pyspark.sql.functions import col | |
import numpy as np | |
import networkx as nx | |
import matplotlib.pyplot as plt | |
sc = SparkContext("local", "Decision Tree") |
1) Create Word Embedding using Glove | |
model_glove = word2vec.Word2Vec(word2vec_sentences, size=200, window=10, sg=1, hs=0, min_count=1, negative=10, workers=-1, iter=5) | |
2)from sklearn.cluster import AgglomerativeClustering | |
----------------to form cluster use this ------------------ | |
In [37]: | |
wv_clusters = AgglomerativeClustering(n_clusters=50, affinity="cosine", linkage="average") | |
In [38]: | |
wv_clusters.fit(model_label_specific.syn0norm) |