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Questions tagged [machine-learning-model]

For questions about machine learning modelling, architectures and design choices, as well as traditional models (AlexNet, VGGNet, Inception, ResNet, etc).

131 questions
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API choice: `inversePredict(mod,Xnew)` vs `predict(mod,Xnew;inv=true)`?

For a ML library, which would be the arguments in favour to use a new specific function name for the inverse prediction for a model (e.g. a zero-mean/unit variance scaler), something like inversePrediction(mod,Xnew), and which arguments would be in…
Antonello
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Object not found while trying to write a pickle file

I am trying to do cancer detection using Random Vector Forest. I am trying to make a pickle file by using the command pickle.dump(forest,open("model.pkl","wb") .But I am getting a name error NameError Traceback (most…
Devika
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How to deploy the Deep learning model(computer vision ) in aws using lambda

I have trained in background removal with my custom images and I am new to deploying computer vision models. please, anyone, share the blog how to deploy the Pytorch deep learning model(computer vision) using lambda. I have written some lambda…
marton mar suri
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The warning: STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in:

I am stuck with my Data Science project. When I perform my code: log_clf = LogisticRegression(max_iter=10000, C=2) svm_clf = OneVsRestClassifier(LinearSVC(C=0.01,loss = "hinge", random_state = 42)) voting_clf = VotingClassifier(estimators=[('lr',…
andsemenov
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Tensorflow object detection API overfitting

I am creating tree detector using Tensoflow Object Detection API with the help of following tutorial : https://www.youtube.com/watch?v=a1br6gW-8Ss My problem is that the model is overfitting the training set. How can I avoid it ? My training set is…
Goga Kakabadze
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Using early stopping with SVR and grid search

I am trying to use a grid search with my SVR model, and as it takes too much time to fit I wonder if I could use the early stopping, but I don't know how to do so. Instead, I used max_iter, but still not sure of my best parameters. Any suggestion?…
Ibtissam
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Cyclic transformation of dates

I would like to use the day of the year in a machine learning model. As the day of the year is not continuous (day 365 of 2019 is followed by day 1 in 2020), I think of performing cyclic (sine or cosine) transformation, following this link. However,…
Ahmed El-Gabbas
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Performance of ML model after StandardScaler transform on TEST data

Overview : I'm new to ML and learning sklearn preprocessing. I figured out that mean will not be 0 and std will not be 1 when we use sklearn preprocessing transform on TEST data (reason being we are using TRAIN data mean/std to standardize the test…
Veens
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Identify time-series forecasting algorithm

I'm trying to build an algorithm in C# based on these videos (CLICK!) My question is not related to the coding part of these tasks. I'm trying to gain a deeper understanding of this algorithm since it is perfect for my assignment. However, the…
Wizard-of-Koz
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How to Implement Vectorized Backprop in Numpy

I'm working on a school project and am stuck on how to implement backpropagation in Numpy with the current forward prop structure I have. The aim of this script is to make a simple dynamic (meaning any number of layers and nodes) fully connected…
yupthatsme
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How to classify multi-class data at different probability cutoff in Weka

Weka set default cutoff (i.e. 50%) to discriminate its data of two class and can easily classify on different cutoff by using SelectThreshold classifier in Weka interface. Now in a three class data, Weka choose the highest probability, say from…
Ravi Saini
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What is the highest loss amount with keras model training?

Im training my model with Keras and I'm trying to read the evaluation statistics. I know what the loss function is for but what is that highest value possible? The closer to zero the better but I dont know if 0.2 is good. I can see the loss is going…
thomas dees
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Is a linear stack of layers equal to multilinear regression?

So for an application I'm making I'm using tf.keras.models.Sequential. I know that there are linear and multilinear regression models for machine learning. In the documentation of Sequential is said that the model is a linear stack of layers. Is…
thomas dees
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Publishing images without their source

I have more than a million images those I will like to use as training data. How do I make this data available freely without compromising security? I want the users to be able to use it quickly for training purpose, without giving hackers a chance…
shantanuo
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Text Analysis in R: How to add variables to my machine learning classifier in addition to the tokens?

how to consider additional variables I am working on a classification task using quanteda in R and I want to include some variables to be considered by my models apart from the bag of words. for instance, I computed dictionary based sentiment…
Carbo
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