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ncat(frames) # transform score between.1 max_value df'score'.max min_value df'score'.min df'score' (df'score' - min_value) / (max_value - min_value) # remove stopwords # wnload - install 'punkt' stop_words for index, row. Text import Tokenizer from quence import pad_sequences from keras. Cannot retrieve contributors at this time. Taking that into consideration - what would you suggest"? Please see more context below.

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Embedding_matrixi embedding_vector # load pre-trained word embeddings into an ensimmäinen bitcoin-transaktio Embedding layer # note that we set trainable False so as to keep the embeddings fixed embedding_layer Embedding(num_words, embedding_DIM, weightsembedding_matrix, trainableFalse) print Training model. Ylabel lenght of text ow #todo ezzel folytat #create a list of words #keras tutorial on werd embeddings: #ml embeddings_index f for line in f: values line. Cannot retrieve contributors at this time # -*- coding: utf-8 -*- created on Tue Jul 18 11:42:48 2017 @author: Lorand " import pandas as pd import numpy as np import os import plot as plt import nltk from nltk import word_tokenize from rpus import stopwords. Preferably I would like to be able to have both of these keys signing through a nano (if that changes anything). Word_index print Found s unique tokens.' len(word_index) data pad_sequences(sequences, maxlenMAX_sequence_length) #if score would be categorical #labels to_categorical(array(labels) labels array(labels) print Shape of data tensor ape) print Shape of label tensor ape) # split the data into a training set and a validation set indices ape0). Below is a response I had to a criticism regarding the use of BitPay. I get it and am more interested in helping them just get started so they have an opportunity to know learn what we have. Can it be set up where one person has to sign to initiate and another to complete the transaction?

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reddit r bitcoin

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