Category "machine-learning"

one classifier for multi-labels with autokeras, data table

i have a data table with 5 labels. i want to use autokeras to Build one classifier that predict all the labels by same X. i tried: clf0 = ak.StructuredDataCla

Models in Tensorflow Federated get stucked at 0.1 accuracy

I'm trying train a federated model for the mnist dataset. I am using the code avaible at https://www.tensorflow.org/federated/tutorials/simulations for the setu

Training loss much lower than test loss even though it's using the same data

I'm using the same data for training and testing (which isn't best practice), and in theory the loss should be exactly the same. However, when training, my loss

SMOTE_NC function in R: error in the ouput

thank you in advance for your time! I'm having some trouble with the SMOTE_NC function in R (https://rdrr.io/github/dongyuanwu/RSBID/man/SMOTE_NC.html). Shortly

Hidden TPU nodes

What do the HIDDEN TPU nodes states, specified in this page, exactly represent and mean? The TPU states specs for the hidden states are a bit too vague for me:

Every time I train my CNN on matlab, is it remembering the old weights from the previous time I trained it? Or does it reset them?

So for example, I have trained a CNN on my data using a learning rate of 0.0003 and 10 epochs, with a minibatch size of 32. After training it, lets say I get an

Implementation details of K-means++ without sklearn

I am doing K-means using MINST dataset. However, I found difficulties in the implementation on initialization and some further steps. For the initialization, I

Specifying Reference Category for Outcome Variable in Multinomial Logit Using SKlearn's LogisticRegression

I am trying to fit a multinomial logit model using LogisticRegression module from Sklearn. My outcome (y) has 4 levels. I need to specify one of these levels as

Including unlabelled data in sklearn pipeline

I'm setting up a machine learning pipeline to classify some data. I have lots of unlabelled data (i.e. target variable is unknown) that I would like to make use

Vowpal Wabbit negative weights significance

I'm doing a feature study and I was wondering what the negative feature weights in the audit output signify. I'm currently using the contextual bandits function

Convert AVAudioPCMBuffer into MLMultiArray and get prediction from CoreML model

I try to send AVAudioPCMBuffer into a coreML model and get the output from it. Input of the model is MultiArray (Float32 0 × 64 × 0) and output is M

Dividing a large file into smaller ones for training

I have a very large file and I want to divide it into smaller ones for training. I've read about pickle files, so I split the large file into training-validatio

Using Recurrent Neural Networks for binary values prediction

EDIT: The problems stated have been solved, you'll first find the solution, the initial question is stated below! SOLUTION: Applying the .unsqueeze(0) to my inp

Convert Kitti Labels To yolo format

Trying to convert Kitti label format to Yolo. But after converting the bbox is misplaced. this is kitti bounding box. This is conversion code: def convertToYol

Loop over hidden layer's nodes and create model based on MLP

I want to build an MLP classifier on iris dataset. Actually, I want to build a function that runs the model with N hidden units in the hidden layer and a loop t

Finding the angle of rotation relative to a normal of a 2D image with TensorFlow

I am new to TF, so what is the general process of finding the angle of a 2D image? What I want to do is find the angle of rotation a particular object real-time

Error tokenizing remove pattern re.findall

I have error like this while cleaning text, i just tried to following code from web def remove_pattern(text, pattern): r = re.findall(pattern, text) fo

How to add title to the plot of shap.plots.force with Matplotlib?

I want to add some modifications to my force plot (created by shap.plots.force) using Matplotlib, e.g. adding title, using tight layout etc. However, I tried to

How to do Multi-step forecasting using XGBoost?

I am currently using XGBoost to predict sales in the future. My time series data is given per week interval. But I am not sure how can I do multistep forcasting

Keras semantic segmentation, infinite epoch using ImageDataGenerators

I am trying to train a model based on the U-Net architecture. I am using two data generators (one for training, the other one for validation). However, whatever

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