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C 2022-02-22 09:20:06
File "h5py\h5g.pyx", line 161, in h5py.h5g.create ValueError: Unable to create group (name already exists)
model_json = model.to_json() with open(file_name + ".json", "w") as json_file: json_file.write(model_json) model.save_weights(file_name + '.h5') Add solution -
Python 2022-02-01 23:21:02
Gradient-Boosted Trees (GBTs) learning algorithm for regression
# Gradient-Boosted Trees (GBTs) learning algorithm for regression from numpy import allclose from pyspark.ml.linalg import Vectors df = spark.createDataFrame([ (1.0, Vectors.dense(1.0)), (0.0, Vectors.sparse(1, [], []))], ["label", "fe... Add solution -
Python 2022-01-31 22:46:50
Word2Vec trains a model of Map(String, Vector)
# Word2Vec trains a model of Map(String, Vector) sent = ("a b " * 100 + "a c " * 10).split(" ") doc = spark.createDataFrame([(sent,), (sent,)], ["sentence"]) word2Vec = Word2Vec(vectorSize=5, seed=42, inputCol=&quo... Add solution -
Python 2021-11-01 23:34:15
Como crear rnn en keras
import numpy import matplotlib.pyplot as plt import pandas import math from keras.models import Sequential from keras.layers import Dense from keras.layers import LSTM from keras.layers import Reshape from sklearn.preprocessing import MinMaxScaler... Add solution -
Javascript 2021-10-26 13:29:12
mongoose check if document exists
var query = Model.find({ /* query */ }).lean().limit(1); // Find the document query.exec(function(error, result) { if (error) { throw error; } // If the document doesn't exist if (!result.length) { // Create a new one var ... Add solution -
Python 2021-10-12 19:15:06
Latent Dirichlet Allocation (LDA), a topic model designed for text documents
# Latent Dirichlet Allocation (LDA), a topic model designed for text documents from pyspark.ml.linalg import Vectors, SparseVector from pyspark.ml.clustering import LDA df = spark.createDataFrame([[1, Vectors.dense([0.0, 1.0])], ... Add solution -
Python 2021-10-12 17:12:04
Gradient-Boosted Trees (GBTs) learning algorithm for classification
# Gradient-Boosted Trees (GBTs) learning algorithm for classification from numpy import allclose from pyspark.ml.linalg import Vectors from pyspark.ml.feature import StringIndexer df = spark.createDataFrame([ (1.0, Vectors.dense(1.0)), (0.0, Vectors.... Add solution -
Python 2021-09-30 16:21:05
Word2Vec trains a model of Map
# Word2Vec trains a model of Map sent = ("a b " * 100 + "a c " * 10).split(" ") doc = spark.createDataFrame([(sent,), (sent,)], ["sentence"]) word2Vec = Word2Vec(vectorSize=5, seed=42, inputCol="sentence"... Add solution
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