Questions tagged as 'machine-learning'

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Time series

A company manages GPS data for a fleet of buses, and has the following table. Table: ['fecha', 'latitud', 'longitud', 'altitud', 'velocidad', 'cog', 'nsat', 'tipo', 'utc_hora', 'fix_fecha', 'imei', 'registro', 'input1', 'input2',...
asked by 24.12.2018 / 14:31
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Error exporting "logistic_regression" in naive Bayes classifier

In this code we try to make a naybe bayes classifier and show a graph with the results. import numpy as np import matplotlib.pyplot as plt from sklearn.naive_bayes import GaussianNB from logistic_regression import plot_classifier imput_file...
asked by 04.06.2018 / 21:41
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Differences between online and batch learning

I can not understand the difference between online and batch learning, could someone throw some light on this topic? As an example of batch we have the SVM, Logistic Regression, Naive Bayes: for 1 ... N w <- update(T, w) return w...
asked by 30.12.2018 / 10:44
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How to create Weights automatically in Tensorflow, CNN

I tried to create weights for a CNN automatically using a for loop and a dictionary in python. The problem is that the size of W1 has to be equal to the size of W2 ... But I can not find a way of doing it. The size shape_1 is the output of nod...
asked by 15.09.2018 / 20:55
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Error passing my data to SVR and SVC

I have a problem with my code: I want to use Sklearn's SVR method but mark an error saying that 'SVR' is not a callable object when I use the SVR() function. import numpy as np from sklearn.svm import SVR This is how I use the...
asked by 05.08.2018 / 06:43
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Automate download process

I'm trying to learn how to automate a download process. I tried using the rvest package in R to scrape the files. I also tried using Wget for Windows, but I have not succeeded with any. Conceptually the task has no loses. I must enter link...
asked by 18.07.2018 / 18:22
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Keras: ValueError: Dimension 0 in both shapes must be equal (VGGNets)

I'm following a tutorial and I loaded the pre-trained VGGNet16 model using Keras vgg16_model = keras.applications.vgg16.VGG16() model = Sequential() for layer in vgg16_model.layers: model.add(layer) model.layers.pop() for...
asked by 15.04.2018 / 21:02