Questions tagged [machine-learning-model]

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9 views

Which model for a content suggestion in which only some of the items are currently available

I am trying to understand the type of model that would be used in a content suggestion scenario where not all of the choices are available at a given time. For example, when an online movie ...
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1answer
23 views

Machine learning algorithms for Geometrical objects shapes identification

Are there Machine learning algorithms which will take input dataset of all geometrical objects shapes as images in gif,jpg,tiff formats & output the geometrical shapes names? i.e. Geometrical ...
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0answers
18 views

Using V or K fold cross validation instead of using testing set

I've used General Regression Neural Networks (GRNN) for 100 data set to predict continuous variables , I trained the model with these data set , also the fitted model was tested using 10 V fold cross ...
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0answers
11 views

When the generator fit calls the “fit_generator” function that i've created

To understand better how the fit generation works I want to know if the "fit generation function" is called only once per epoch (And in each epoch is trining to minimize the gradient of a ...
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0answers
17 views

How to change Linear model in SGDClassifier scikit learn?

The SGDClassifier of scikit learn defines it as "Linear classifiers (SVM, logistic regression, etc.) with SGD training.". I understand from this that any Linear classifier can be used here. ...
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What ML architecture fits fixed length signal regression?

My problem is of regression type - How to estimate a fish weight using fixed length signal (80 data points) of the change in resistance when the fish swim through a gate with electrodes (basically 4 ...
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1answer
34 views

Machine learning, speech recognition technologies for Sound of Animals interpretation

https://www.google.com/search?q=sound+of+animals&client=ms-android-lava&prmd=inv&sxsrf=ALeKk02xrn0-yn-FZSkidTogB4l4B_TH6A:1600539091086&source=lnms&tbm=isch&sa=X&ved=...
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1answer
42 views

Modifying binary classification to Multi-Class Classification (Logistic Regression) [closed]

I am using this code that I found here for logistic regression for binary classification with 2 classes. Git Repo The data that I am testing with is calling for multi-class classification (6 classes). ...
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1answer
28 views

How to perform upsampling (and NOT interpolation) process theoretically modelled?

As an example, I know that sampling a signal $s$ is modelled by multiplication of s by a dirac comb, which has the effect of convolving the Fourier Transform (FT) of $s$ by the FT of the dirac comb ...
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29 views

Support Vector Machines

I have ASCII data which converted from raster data in ArcGIS. I would like to use Support Vector Machine (SVM) algorithm to create a flood prediction map. My question is that can I use ASCII file ...
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1answer
34 views

Using constants in input of a ML Model

I'm currently building a binary classifier. My input is a sequence of 32 time-steps. Certain time-steps of the input will be constant (ex: t-0 will always be 0, t-5 will always be 9, etc) Does it make ...
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1answer
25 views

Why does the overfitting decreases if we choose K to be large in K-nearest neighbors?

I am studying machine learning and I am focusing on K-nearest neighbors . I have understood the algorithm, but I have still a doubt, which is on how to choose the K for the number of neighbors. I ...
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2answers
36 views

Machine learning algorithms for interpreting Companies brand/s logo/s

https://www.google.com/search?q=Company+brand+logos&client=ms-android-lava&prmd=isnv&sxsrf=ALeKk0218I-1fMd-hNXX_fAF8_fu6EOotA:1600348128111&source=lnms&tbm=isch&sa=X&ved=...
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0answers
27 views

Machine learning predictive algorithms for Zodiac signs year predictions [closed]

https://www.google.com/search?q=zodiac+signs+predictions+2020&client=ms-android-lava&prmd=inv&sxsrf=ALeKk009XbJldzf4Aj67LzvVdfkH-0muHQ:1600320690450&source=lnms&tbm=isch&sa=X&...
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0answers
35 views

Could my AI classifier be extended to categorical data? [closed]

I created a new AI classifier. Physics Based Classifier
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1answer
18 views

Grouping high dimension Y-space to lower dimensions

I have a ML problem with 300 variables to predict, Meaning I have a multi-label binary classification problem with a Y space of 300 and with about 2000 rows only. Thus we assume that there are 2^300 ...
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15 views

Implemented AR to predict a time series, get nonsense out

I have this time series, it's an industry metric, the data is reported daily, and the data spans just over 1 year. Sometimes, the data does not get reported, and for that day, we would just use the ...
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0answers
6 views

Can Spatial Transformer Networks (STNs) be used to learn local image transformations?

in most of the applications of STNs that I have seen in research papers, the module is used to perform global warping, i.e. a single parameter θ is learned for the entire image. Recently, I tried ...
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1answer
41 views

What is multi-hot encoding?

I was read and paper for machine learning, and i found this term "multi-hot encoding" without explanation. Can you help me please? the paper: https://arxiv.org/abs/2001.06917
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8 views

Stacking: How to best treat base learner?

With stacking, several (diverse) base learners are used to predict the dependent variable $\hat{y}_{b,m}=\beta_{b,m} X$ in a hold-out set, where $m$ are base learner models $1,...,n$. These ...
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0answers
11 views

What are the Objectives for Recommendation Systems and what Key Results should a Recommendation System focus on?

I know that a Recommendation system helps in the engagement of the users and helps users find more relevant content but I am in search of more complex objectives and key results with regards to ...
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0answers
21 views

Trying to figure best machine learning technique to evaluate schedules for a telescope

I work for an astronomical observatory with two geographically separated telescopes. Users submit proposals in the form of programs consisting of multiple observations, and we are trying to automize ...
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0answers
24 views

Book indexing data science project [closed]

Is it possible to perform Book index searching using Machine learning algorithms? Inputs : 1 Book pages with page numbers as images. 2 Index words in the book. Output: Tracing the page number/s with ...
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1answer
21 views

building a model that calculate effect of an event

Say I have a bike sharing company and want to know how events affect number of rides per day. events vary on: number of coupons sent per user expiry date amount for each coupon. I have created a df ...
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1answer
51 views

Deploying multiple pre-trained model (tar.gz files) on Sagemaker in a single endpoint

We have followed the following steps: Trained 5 TensorFlow models in local machine using 5 different training sets. Saved those in .h5 format. Converted those into tar.gz (Model1.tar.gz,...Model5.tar....
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13 views

How to Approach Creating an Accurate Multiclass Multinomial Naive Bayes with Unbalanced Data

I have used sklearn to create a basic multiclass naive bayes text classifier. I have 3 classes and around 800 rows of data. Class A has 564 rows, Class B has 159, and Class C has 82. As you can see ...
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1answer
33 views

Dealing with categorical variables in regression problems which method to use?

Usually if I have regression problem and my initial dataset contains categorical variables like : column 1: Math Science Science English I would convert this ...
0
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1answer
31 views

How to deploy a deep learning model in Flask (Python)? [closed]

I am still an amateur with respect to deploying deep learning models as a flask app. I want to deploy a VQA model based on MMF (Pythia) in a flask app. Github repository for reference. Can someone ...
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3answers
54 views

Is it a good practice to evaluate a model on the training set

Is it a good practice to evaluate a model on the training set (i.e. train a model on training set and evaluate the regression error/accuracy on the same training set) and compare the evaluation result ...
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6answers
219 views

Is there any way to explicitly measure the complexity of a Machine Learning Model in Python

I'm interested in model debuggin and one of the points that it recommends is to compare your model with a "less complex" one in order to see if the performance is substantially better on the ...
-1
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1answer
31 views

Train a model to determine that the probability of an event given a set of features is higher than when given a different set of features [closed]

I have a data set of attempted phone calls. I have a set of features, say, hour of day, and zip code. I have a label indicating whether the callee picked up the phone or not. I want a model to predict ...
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0answers
9 views

Best approach to deploy computer vision machine learning model as RestAPI and deploy in Azure

I have machine learning model which identify 2-wheeler and 4-wheeler vehicle by seeing videos of live camera which installed in parking area. ...
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0answers
47 views

Machine learning applications in Architecture field

Can there be Machine learning applications in Architecture field? Example : New York City 100 years back i.e. Year 1920, every ten years after 1920 and today i.e. Year 2020 images of New York City ...
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2answers
61 views

High Cross Validation Score on Training Set, High Score on Test Set, But Low Score on Kaggle?

I've been trying to complete this regression task on Kaggle. As usual they gave a train.csv(with response variable) and a test.csv (without response variable) file for us to train the model and ...
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2answers
26 views

Is it possible to reuse my CNN trained model over a new dataset with different number of classes?

I had used a trained CNN model (VGG16) over a large dataset with 6 number of classes in FC layer it gave me a good accuracy ( for example over Testing data: loss=0.59, accuracy=0.829). When I had ...
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1answer
15 views

Understanding declared parameters in my Conv2d layer of my convolutional neural network

I am trying to understand the architecture of my keras model implemented by the sequential model. Here is a piece of the code : ...
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0answers
25 views

Should I use a different ML model for feature sets with missing values while drawing inferences?

I have trained a model with 5 features. While training, I had no missing values, and the models were perfectly trained. However, when I'm using this model to draw inferences, sometimes I'm missing one ...
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1answer
38 views

Getting 0 accuracy and NaN mae for all epochs training my NN

Background: I made a simple game using python library 'Turtle' in which there is a long plank with a ball balanced on top of it. I can press right or left arrow keys to rotate the plank (either ...
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0answers
54 views

Is it possible to do attribute, value extraction prediction model in Machine Learning?

Previously I asked a question at here, but it doesn't seems to be at the correct place. So, I moved it here with more details of what I've done. Here is the sample data image to be process. Start with ...
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1answer
25 views

Classification report question

I need some help to interpret the 2 classification reports of the same logistic regression. The only difference between them is the size of test_size. Even though my second classification report has a ...
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0answers
28 views

Model Deployment

I am trying to work on deploying my first model to Heroku. So I was referring some videos for it. I saw that some pre-processing like removing stopwords, lemmatizing etc are done while creating the ...
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0answers
29 views

Sequence-to-Sequence Autoencoder with asymmetric length of encoding sequence

I am trying to design a sequence-to-sequence autoencoder where the encoding sequence has a length shorter than the sequence itself given that the encoding's dimensionality could be more to compensate ...
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1answer
41 views

How do I know what the best number of layers is required to achieve the highest accuracy

I'm learning from Udacity using this video. I saw this piece of code: ...
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1answer
30 views

Logic behind the Statement on Non-Parametric models

I am currently reading 'Mastering Machine Learning with scikit-learn', 2E, by Packt. In Lazy Learning and Non-Parametric models topic in Chapter 3- Classification and Regression with k-Nearest ...
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0answers
24 views

Style transfer model outputs only zero valued pixels

Currently implementing the style transfer model proposed in the article Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization. The model takes two RGB images as input: one content ...
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2answers
48 views

X, Y names in data-science [closed]

I am from CS background and moving towards Data Sciences, I have came to know ML is highly influenced by Statistical Inference/signal processing. The X we use in data science is called input, feature ...
3
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1answer
45 views

How to make an MNIST classifier work with blank images?

I am trying to make a Sudoku solver and for the image recognition I trained a CNN but the problem that I am facing is that I don't know how to make it see a clear distinction between numbers and blank ...
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0answers
17 views

Graph Neural Network - Node and Global Properties

I am trying to work with Graph neural networks. I am trying to use the 3d coordinates and some othe things related to those positions as features. However the whole system also has some global ...
1
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1answer
35 views

How to create a table to display relative frequencies of selected words (eg. with, can, will) from any text corpus in nltk package in python [closed]

Interested words are ['with', 'can', 'will'] gutenberg corpus is the corpus we would like to search on. Expected output is ...
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1answer
43 views

regularization error vs over fitting

I have a collected data from 50 unique blocks, and then merged data from 49 blocks into one data set, and saved the data from 1 block for testing purpose. I then split the merged data set from 49 ...

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