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Data Science : Recent Questions and Answers (Page 199)

Find answers to your questions about Data Science or help others by answering their Data Science questions.

high accuracy on non trained class in tensorflow model

I have trained a 4 multi-class (apple_nature, apple_disease, apple_blacrot, apple_healthy) image classification algorithm using TensorFlow. However, after training, we get a good accuracy model. The problem I am facing is...

Asked on 03/03/2021

1 answer

No gradients provided for any variable: ['Variable:0', 'Variable:0']

I am using Python 3.6 and Tensorflow 2.0 for the following code for linear regression:tx = tf.constant(x, dtype=tf.float32)ty = tf.constant(y, dtype=tf.float32) tw = tf.Variable(initial_value=np.random.randn(), dtype=tf.float32,...

Asked on 03/03/2021 by Ken S

1 answer

Neural Network probabilities problem

I am using machine learnig to measure probability for the outcome of tennis matches. If the winer is 1 that means that p1 won otherwise p2 won. in Columns LG,...

Asked on 03/03/2021

0 answer

How to deal with disconnected components in isomap?

While creating a nearest neighbor graph for isomap, there is a possibility that the graph is disconnected. In this case finding graph distances between all pairs of points will not...

Asked on 03/03/2021 by pauli

1 answer

Dealing with missing data in several features at once

Good day, What are the approaches for handling missing data in several features (categorical and continuous) at once? I look through each feature and plotted several histograms of the distribution...

Asked on 03/03/2021 by Kirill Degtyarev

1 answer

Data preprocessing for time series prediction

I have a dataset that has the following structure[ [ [ product 1 ,shelf number, position on the tray, time of stay on the shelf, was sold?],...

Asked on 03/03/2021

1 answer

Factors in choosing a continuous encoder?

Apart from heuristically treating an encoder like a hyperparameter, how can one decide which encoder to use for continuous features?Rule out encoders that do/ don't accept negative values.Can we look...

Asked on 03/03/2021

0 answer

How to apply pruning on a BERT model?

I have trained a BERT model using ktrain (tensorflow wrapper) to recognize emotion on text, it works but it suffers from really slow inference. That makes my model not suitable...

Asked on 03/03/2021 by Stamatis Tiniakos

0 answer

How to determine a sufficient number of training examples for a linear regression classifier?

How do we determine a sufficient number of training examples for a linear regression classifier? What kind of behaviors might we expect if we use too few training examples?...

Asked on 03/03/2021

1 answer

Handling too much range in texts' length

I have a classification problem where inputs are news article and target are topics. However, articles length are very varying from 100 words to 800! I'm using TfIdf and I...

Asked on 03/03/2021 by junior N'nane

0 answer

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