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Questions tagged [training-data]

A training set is a set of data used to discover potentially predictive relationships, used in fields like artificial intelligence, machine learning, and statistics.

A training set is a set of data used to discover potentially predictive relationships, used in fields like artificial intelligence, machine learning, and statistics.

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How to test your tuned SVM model on a new data-set using machine learning and Caret Package in R?

Guys! I am a newbie in machine learning methods and have a question about it. I try to use Caret package in R to start this method and work with my dataset. I have a training dataset (Dataset1) with mutation information regarding my gene of…
user3576287
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Decrease loss in keras training using lstm

I have an input like this: x_train = [ [0,0,0,1,-1,-1,1,0,1,0,...,0,1,-1], [-1,0,0,-1,-1,0,1,1,1,...,-1,-1,0], ... [1,0,0,1,1,0,-1,-1,-1,...,-1,-1,0] ] which 1 means increase in one metric and -1 means decrease in it and 0 means no…
user8488890
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self-defined conneted network using tesnsorflow take too much storage and failed to train

For my project i write a not-fully connected feedforword network using tensorflow. I only use scalar variables to generate weights, rather than matrix variables, because of not-fully connectivity. For this reason i get the flexibility to connet…
Bin
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Test Data for Tesseract

I have a project which uses Tesseract OCR for IOS. Everything works fine, but I get the following errors: Failed loading language 'eng' Tesseract couldn't load any languages! I have looked everywhere, and I can't find anything I'm doing wrong. I…
Nikhil Sridhar
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Train Tensorflow with my own images successfully, but still have problems

I am using ubuntu 16.04, with GPU Geforce 1080, 8 GB GPU memory. I have properly created TF-record files, and I trained the model successfully. However I still have two problems. I did the following steps and I still have two problems, just tell me…
Abduoit
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How can I merge the train, test and validation set of mnist in tensorflow for AutoEncoder training?

How to merge the train, test and validation set of mnist in tensorflow for batch training. Anyone can help me?
Qiang Wang
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ValueError when training TensorFlow object detection: "all elements of boxlists should be BoxList objects"

I have a dataset of just 10 images of sodacans. This is because I want to get the process of setting up the TFRecords and Training Pipeline tested, before I spend hours labeling a bunch of photos. I labeled the images using RectLabel on macOS. Here…
Mohring
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Python 2.7 train_test_split error: 2L

I am trying to teach myself some Machine Learning techniques and I'm having trouble trying to figure out the cause of this error. An unhandled exception is raised and the program stops, when the model attempts to fit the data. TypeError was…
theotheraussie
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How can I create multiple data models, then pick the model(s) that are evaluated to be the best fitting?

I have a training-test function set up in R that takes a set of data, excludes a certain portion of it (to preclude the model overfitting the data), and then trains a linear model on about half of the remaining data before testing the model on the…
Bob McBobson
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How to input data in xgb.train function in R?

I'm going to perform xgboost on R using xgb.train function. In order to use the xgb.train function, I know that input data must be transformed as using xgb.DMatrix function. But when I used this function in my data setm I got an error message…
이순우
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what's the difference between tf.nn.conv2d with strides = 2 and tf.nn.max_pool with 2x2 pooling?

As mentioned above, both tf.nn.conv2d with strides = 2 and tf.nn.max_pool with 2x2 pooling can reduce the size of input to half, and I know the output may be different, but what I don't know is that affect the final training result or not,…
hyang51
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Data needed to train Tesseract OCR for custom Language

I am trying to build a CUSTOM language for detecting only following characters: ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '0', '1', '2', '3', '4', '5',…
Tom Antony
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Loop regression through different data frames

The goal is to do multiple logit regressions on different training data frames and then to evaluate the performance on respective test data sets. First, we create multiple (5) randomly sampled data frames from df: for(i in 1:5) { nr <-…
Dima
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Error: nrow(x) == n is not TRUE in Caret train

I have a dataset "B_data" which looks like this. ( 84 Obs and 56 variables). ToF_Freq1 ToF_Freq2 ToF_Freq3 Hat_ToF_sd_Freq1 Hat_ToF_mean_Freq2 pfit_1 1 16.40474 17.22727 22.16426 0.6888009 30.24077 36.5500 2 16.45814 …
stochastiker
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Regarding Feature Extraction for Sentiment Analysis

I'm writing a small sentiment analysis program in Python by training a Naive Bayes classifier with positive and negative examples of online reviews. My problem concerns the feature extraction step - currently I'm using a bag of words to hold all of…
solum
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