Questions tagged [machine-learning-model]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
1
vote
0answers
14 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 ...
0
votes
1answer
22 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 ...
0
votes
2answers
33 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=...
3
votes
1answer
366 views

Should I rescale losses before combining them for multitask learning?

I have a multitask network taking one input and trying to achieve two tasks (with several shared layers, and then separate layers). One task is multiclass classification using the CrossEntropy loss, ...
0
votes
0answers
26 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&...
1
vote
1answer
40 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....
3
votes
0answers
33 views
1
vote
2answers
2k views

Using the trainbr function for classification in Matlab

I am training a neural network for classification using Matlab, and I don't understand if I can use the trainbr training function (Bayesian Regularization ...
0
votes
0answers
30 views

Derrivative of a neural Network in TensorFlow or Keras

So I'm trying to get a derivation out of my neural network and somehow it does not work. To keep it easy i wrote a model from 1 dimensional real numbers into 1-D ...
0
votes
2answers
29 views

Network Size in neural network

What are the limitations of having too many hidden units in the Neural Network Does it take more memory or takes longer time to train the model
0
votes
1answer
16 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 ...
0
votes
0answers
14 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 ...
2
votes
1answer
85 views

Need help on Time Series ARIMA Model

I'm working on forecasting daily volumes and have used time series model to check for data stationarity. However, I'm strugging at forecasting data with 90% accuracy. Right now variation is extremely ...
0
votes
1answer
38 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
0
votes
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 ...
0
votes
0answers
7 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 ...
0
votes
2answers
546 views

Encoding continuous values

I've been reading about one-hot encoding for categorical values. Could similar mechanism make sense for continuous values? I'm looking at a problem, where I try to predict the volume of product X, ...
0
votes
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 ...
0
votes
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 ...
1
vote
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 ...
1
vote
0answers
23 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 ...
0
votes
2answers
99 views

How to encode a job description for machine learning

I'm working on a sample project and one of the features is the job description of a person (categorical, for example: blue-collar, retired, unknown, unemployed, student, etc.). Since in the future ...
4
votes
3answers
346 views

Which models can handle null values?

Unfortunately trying to google or research null values in machine learning always brings up pages trying to teach you how to impute the values instead, but I'm trying to find models that can handle ...
1
vote
1answer
29 views

Application of Machine learning in modelling experimental system as a PhD topic

I am working as a control Engineer in a high energy physics lab. I am looking for a PhD thesis topic. Our experimental system is highly non linear and can't be modeled using standard white box ...
1
vote
2answers
68 views

How to treat the undefined values which make sense?

I'm currently trying to create a few features to improve the performances of a model. One of those features that I would like to create corresponds to the difference in days between a customer's ...
1
vote
1answer
24 views

How does resnet model restores the skipped layers as it learns the feature space?

From the definition of resent from wikipedia: it is mentioned that resent model uses fewer layers in the initial training stages. This speeds learning by reducing the impact of vanishing gradients, as ...
0
votes
2answers
77 views

Which ML algorithm should I use for following use case for classification and Why?

I have data in table format having total 3 columns. One column for label, other two columns are features. So, such 30 rows(1 row contains 2 feature and 1 label) make one set of data with all 30 rows ...
0
votes
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 ...
0
votes
1answer
56 views

How to Proceed with Tokenized text content which is given in number?

I have one data set of customer review, but the text data is given is tokenized text number. I am unable to proceed thinking about how to proceed? As I am encountering such data set the first time, ...
0
votes
2answers
1k views

Why the VC dimension to this linear hypothesis equal to 3?

I am trying hard to understand this. Here is the scenario: X = R^2 H = { h(x) = x + 10 } I need to calculate the VC dimension for the above linear separator. ...
1
vote
3answers
218 views

Using Machine Learning techniques for text-analysis

I am analysing a bunch of tweets and I want to understand which political party the authors support. I am using Mathematica but I am thinking to re-write my code in Python. If you have any suggestion,...
5
votes
6answers
214 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 ...
0
votes
0answers
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 ...
6
votes
1answer
279 views

Chi-square as evaluation metrics for nonlinear machine learning regression models

I am using machine learning models to predict an ordinal variable (values: 1,2,3,4, and 5) using 7 different features. I posed this as a regression problem, so the final outputs of a model are ...
2
votes
1answer
31 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
votes
1answer
30 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 ...
1
vote
1answer
93 views

SVM radial basis generate equation for hyperplane

I need to generate an equation for hyperplane, I have two independent variables and one binary dependent variable. Regarding this following equation for svm , $f(x)=sgn( sum_i alpha_i K(sv_i,x) + b )$...
1
vote
1answer
167 views

Combine results from multiple models

I am using chunks of 100000 rows at a time from the CSV file to train the a simple LASSO model. How do i combine all of these models trained from these different chunks? I would like to use all ...
-1
votes
3answers
51 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 ...
0
votes
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 ...
0
votes
0answers
52 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 ...
4
votes
2answers
72 views

Model selection: large mean and variance vs small mean and variance

This question was always in my mind. Imagine you are doing 5-10 fold cross validation and one model gives you mean accuracy of 0.8, but with 0.2 standard deviation and the other one gives 0.7 with 0....
2
votes
1answer
169 views

How to decide optimal threshold for my classification model from FPR, TPR and threshold

I am building my model in Python to classify customer in buyer/ non-buyer category. I used mutiple agorithms for this problem and then after evaluation selecting the best out of all. sklearn package ...
0
votes
2answers
25 views

Keras fit_generator() for long signals

I want to make an LSTM network and I have quite a long signal that I want to use as my training data My X_train is a CSV-file which contains 12 signals with a length of 54 837 488 My y_train is an ...
-1
votes
1answer
30 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 ...
1
vote
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 ...
0
votes
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. ...
1
vote
0answers
113 views

i have trained a model using fer2013 dataset using CNN for Emotion detection. Now i want to use it in a image

I have a trained model and saved the weights in fer.h5. Now i want to use the pre trained model in another set of images and save it to a excel file ...
0
votes
2answers
25 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 ...
1
vote
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 ...

1
2 3 4 5
9