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machine learning - Spark MlLib linear regression (Linear least squares) giving random results
Im new in spark and Machine learning in general. I have followed with success some of the Mllib tutorials, i ... can read and experiment. Thanks See Question&Answers more detail:os...
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machine learning - interpreting Graphviz output for decision tree regression
I'm curious what the value field is in the nodes of the decision tree produced by Graphviz when used for ... .export_graphviz(reg, out_file=f) See Question&Answers more detail:os...
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machine learning - Is there an optimizer in keras based on precision or recall instead of loss?
I am developping a segmentation neural network with only two classes, 0 and 1 (0 is the background and 1 the ... know how to implement this ? See Question&Answers more detail:os...
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machine learning - Matlab: How can I split my data matrix into two random subsets of column vectors while keeping the label information?
I have a data matrix X (60x208) and a matrix of labels Y (1x208). I want to split my data matrix X ... (not sure if this makes a difference) See Question&Answers more detail:os...
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machine learning - How can I get biases from a trained model in Keras?
I have built a simple neural network, model = Sequential() model.add(Dense(20, input_dim=5, activation='sigmoid') ... I get the biases values? See Question&Answers more detail:os...
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machine learning - Matlab:K-means clustering
I have a matrice of A(369x10) which I want to cluster in 19 clusters. I use this method [idx ctrs]=kmeans ... in MATLAB? Thank you in advance See Question&Answers more detail:os...
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machine learning - clustering very large dataset in R
I have a dataset consisting of 70,000 numeric values representing distances ranging from 0 till 50, and I want to ... t fit the data into memory See Question&Answers more detail:os...
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machine learning - Do you apply min max scaling separately on training and test data?
While applying min max scaling to normalize your features, do you apply min max scaling on the entire dataset ... being fed into the network? See Question&Answers more detail:os...
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machine learning - Why is binary_crossentropy more accurate than categorical_crossentropy for multiclass classification in Keras?
I'm learning how to create convolutional neural networks using Keras. I'm trying to get a high accuracy for the ... ', metrics=['accuracy']) See Question&Answers more detail:os...
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machine learning - svm scaling input values
I am using libSVM. Say my feature values are in the following format: instance1 : f11, f12, f13, f14 ... option gives me improved results? See Question&Answers more detail:os...
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machine learning - Keras, sparse matrix issue
I am trying to feed a huge sparse matrix to Keras model. As the dataset doesn`t fit into RAM, the way ... if someone could comment on this. See Question&Answers more detail:os...
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machine learning - (Python - sklearn) How to pass parameters to the customize ModelTransformer class by gridsearchcv
Below is my pipeline and it seems that I can't pass the parameters to my models by using the ... n_estimators for estimator ModelTransformer. See Question&Answers more detail:os...
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machine learning - How to calculate the number of parameters of an LSTM network?
Is there a way to calculate the total number of parameters in a LSTM network. I have found a example but I' ... or was the formula wrong ? See Question&Answers more detail:os...
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machine learning - Backward function in PyTorch
I have some question about pytorch's backward function I don't think I'm getting the right output : import numpy as np ... . cause d(x^2)/dx=2x See Question&Answers more detail:os...
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machine learning - Issue in training hidden markov model and usage for classification
I am having a tough time in figuring out how to use Kevin Murphy's HMM toolbox Toolbox. It ... probabilities transmat0 and transmat1? See Question&Answers more detail:os...
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machine learning - Calculate AUC in R?
Given a vector of scores and a vector of actual class labels, how do you calculate a single-number AUC metric ... but used as a function? See Question&Answers more detail:os...
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machine learning - How to calculate the number of parameters of convolutional neural networks?
I can't give the correct number of parameters of AlexNet or VGG Net. For example, to calculate the ... me the right calculation procedure? See Question&Answers more detail:os...
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machine learning - Balance classes in cross validation
I would like to build a GBM model with H2O. My data set is imbalanced, so I am using the balance_classes ... the test-fold is not rebalanced. See Question&Answers more detail:os...
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machine learning - Scikit learn - fit_transform on the test set
I am struggling to use Random Forest in Python with Scikit learn. My problem is that I use it for text ... there any workaround? Many thanks! See Question&Answers more detail:os...
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machine learning - Implementing dropout from scratch
This code attempts to utilize a custom implementation of dropout : %reset -f import torch import torch.nn as ... custom-dropout-function/14053/2 See Question&Answers more detail:os...
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machine learning - Scikits-Learn RandomForrest trained on 64bit python wont open on 32bit python
I train a RandomForestRegressor model on 64bit python. I pickle the object. When trying to unpickle the object on ... sklearnre e\_tree.c:10389) See Question&Answers more detail:os...
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machine learning - TimeDistributed(Dense) vs Dense in Keras - Same number of parameters
I'm building a model that converts a string to another string using recurrent layers (GRUs). I have tried both ... () achieves in this case. See Question&Answers more detail:os...
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machine learning - R: How to split a data frame into training, validation, and test sets?
I'm using R to do machine learning. Following standard machine learning methodology, I would like to randomly ... to tune your hyperparameters). See Question&Answers more detail:os...
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machine learning - What is `lr_policy` in Caffe?
I just try to find out how I can use Caffe. To do so, I just took a look at the different . ... " Could somebody please explain those options? See Question&Answers more detail:os...
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machine learning - How would one use Kernel Density Estimation as a 1D clustering method in scikit learn?
I need to cluster a simple univariate data set into a preset number of clusters. Technically it would be closer to binning ... .66 10 12 1 10.66 See Question&Answers more detail:os...
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machine learning - Using pre-trained word2vec with LSTM for word generation
LSTM/RNN can be used for text generation. This shows way to use pre-trained GloVe word embeddings for Keras ... and predict will be appreciated. See Question&Answers more detail:os...
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machine learning - How to find probability distribution and parameters for real data? (Python 3)
I have a dataset from sklearn and I plotted the distribution of the load_diabetes.target data (i.e. the values of the ... ", ax=ax) plt.show() See Question&Answers more detail:os...
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machine learning - How to write a confusion matrix in Python?
I wrote a confusion matrix calculation code in Python: def conf_mat(prob_arr, input_arr): # confusion matrix conf_arr = [[0, ... ,6],[5,4,19]] See Question&Answers more detail:os...
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