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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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Parameter "stratify" from method "train_test_split" (scikit Learn)

I am trying to use train_test_split from package scikit Learn, but I am having trouble with parameter stratify. Hereafter is the code: from sklearn import cross_validation, datasets X = iris.data[:,:2] y =…
Daneel Olivaw
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What is validation data used for in a Keras Sequential model?

My question is simple, what is the validation data passed to model.fit in a Sequential model used for? And, does it affect how the model is trained (normally a validation set is used, for example, to choose hyper-parameters in a model, but I think…
danidc
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How to demonstrate to management that mediocre developers are hurting team

I am in the precarious position of "managing" a team of developers at a small company. I say "managing" because although I assign work and provide feedback on their performance I have no recourse in actually disciplining an individual. Some of my…
deleteme
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Normalize data before or after split of training and testing data?

I want to separate my data into train and test set, should I apply normalization over data before or after the split? Does it make any difference while building predictive model?
hemant
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Training data for sentiment analysis

Where can I get a corpus of documents that have already been classified as positive/negative for sentiment in the corporate domain? I want a large corpus of documents that provide reviews for companies, like reviews of companies provided by analysts…
London guy
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Data sets for neural network training

I am looking for some relatively simple data sets for testing and comparing different training methods for artificial neural networks. I would like data that won't take too much pre-processing to turn it into my input format of a list of inputs and…
Jeff Thomas
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Publicly Available Spam Filter Training Set

I'm new to machine learning, and for my first project I'd like to write a naive Bayes spam filter. I was wondering if there are any publicly available training sets of labeled spam/not spam emails, preferably in plain text and not a dump of a…
JeremyKun
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How to train a model in nodejs (tensorflow.js)?

I want to make a image classifier, but I don't know python. Tensorflow.js works with javascript, which I am familiar with. Can models be trained with it and what would be the steps to do so? Frankly I have no clue where to start. The only thing I…
Alex
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Altering trained images to train neural network

I am currently trying to make a program to differentiate rotten oranges and edible oranges solely based on their external appearance. To do this, I am planning on using a Convolutional Neural Network to train with rotten oranges and normal oranges.…
Rehaan Ahmad
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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 split my data into training, validation, and test data sets. How do I do that in R? I know there are some related questions on how to split…
stackoverflowuser2010
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what does class_mode parameter in Keras image_gen.flow_from_directory() signify?

train_image_gen = image_gen.flow_from_directory('/Users/harshpanwar/Desktop/Folder/train', target_size=image_shape[:2], batch_size=batch_size, …
Harsh Panwar
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How do I train tesseract 4 with image data instead of a font file?

I'm trying to train Tesseract 4 with images instead of fonts. In the docs they are explaining only the approach with fonts, not with images. I know how it works, when I use a prior version of Tesseract but I didn't get how to use the box/tiff…
claim
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Split tensor into training and test sets

Let's say I've read in a textfile using a TextLineReader. Is there some way to split this into train and test sets in Tensorflow? Something like: def read_my_file_format(filename_queue): reader = tf.TextLineReader() key, record_string =…
Luke
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SVM classifier based on HOG features for "object detection" in OpenCV

I have a project, which I want to detect objects in the images; my aim is to use HOG features. By using OpenCV SVM implementation , I could find the code for detecting people, and I read some papers about tuning the parameters in order to detect…
Mario
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How to Fine tune existing Tensorflow Object Detection model to recognize additional classes?

Thanks to Google for providing a few pre-trained models with tensorflow API. I would like to know how to retrain a pre-trained model available from the above repository, by adding new classes to the model. For example, the trained COCO dataset model…
saikishor
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