Category "machine-learning"

How does MindsDB renew/develop models?

I've linked a datasource to mindsdb, using scout. I'm wondering, does it automatically pull new data and retrain the model incrementially, or do I have to trigg

How to apply cross_val_score to cross valid our own model

Usually, we apply cross_val_score to the Sklearn models by doing the following way. scores = cross_val_score(clf, X, y, cv=5, scoring='f1_macro') Now I have my

How to Upload Many Files to Google Colab?

I am working on a image segmentation machine learning project and I would like to test it out on Google Colab. For the training dataset, I have 700 images, most

ImportError('Could not import PIL.Image. ' working with keras-ternsorflow

I'm following some lectures from lynda.com about deep learning using Keras-TensorFlow in a PyCharmCE enviroment and they didn't have this problem. I get this er

selective search in cv2 python

I am learning R-CNN, the first step for R-CNN is selective search, I used this algorithm on a sample image from my dataset. Code - ss = cv2.ximgproc.segmentatio

Implement Relu derivative in python numpy

I'm trying to implement a function that computes the Relu derivative for each element in a matrix, and then return the result in a matrix. I'm using Python and

Getting ValueError: y contains new labels when using scikit learn's LabelEncoder

I have a series like: df['ID'] = ['ABC123', 'IDF345', ...] I'm using scikit's LabelEncoder to convert it to numerical values to be fed into the RandomForestC

AttributeError: module 'tensorflow.python.pywrap_tensorflow' has no attribute 'TFE_Py_RegisterExceptionClass'

I am trying to develop some time-series sequence prediction, using the latest resources available. To that end, I did check the example code from TensorFlow tim

What is "linear projection" in convolutional neural network [closed]

I am reading through Residual learning, and I have a question. What is "linear projection" mentioned in 3.2? Looks pretty simple once got this

Metrics F1 warning zero division

I want to calculate the F1 score of my models. But I receive a warning and get a 0.0 F1-score and I don't know what to do. here is the source code: def model_

Input 0 of layer "sequential_3" is incompatible with the layer: expected shape=(None, 256, 256, 3), found shape=(None, 324, 500, 3)

I'm having an issue if anyone can help please comment input_shape=(BATCH_SIZE,256,256,3) model=models.Sequential([ resize_and_rescale, data_aug

tensorflow:Can save best model only with val_acc available, skipping

I have an issue with tf.callbacks.ModelChekpoint. As you can see in my log file, the warning comes always before the last iteration where the val_acc is calcula

Cannot Train Wav2vec XLSR Model With Common Voice Data

I am trying to train a transformer ASR model with wav2vec XLSR in the danish language, but whenever I try to pull the danish dataset with datasets library it's

What is the difference between SVC and SVM in scikit-learn?

From the documentation scikit-learn implements SVC, NuSVC and LinearSVC which are classes capable of performing multi-class classification on a dataset. By the

Errors due to vowpal wabbit's dependencies on boost library

I'm trying real hard to install vowpal wobbit and it fails when i run the make file, throwing: cd library; make; cd .. g++ -g -o ezexample temp2.cc -

Support Vector Machine library for C# [closed]

Is there any Support Vector Machine library already implemented which I could use in my C# projects?

Extract weights and biases from Orange Data Mining

I am using Orange Datamining to train a model on the Iris data set. I used the stochastic gradient descent node to do the training and I am looking to extract t

Are modern CNN (convolutional neural network) as DetectNet rotate invariant?

As known nVidia DetectNet - CNN (convolutional neural network) for object detection is based on approach from Yolo/DenseBox: https://devblogs.nvidia.com/paralle

Whenever i try to print classification report, in accuracy column it prints some other value 0.50 but my accuracy is 0.96

Importing libraries import matplotlib.pyplot as plt import seaborn as sns import keras from keras.layers import * from keras.models import * from sklearn.metric

RuntimeError: Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same

I am trying to train the following CNN as follows, but I keep getting the same error regarding .cuda() and I am not sure how to fix it. Here is a chunk of my co