Questions tagged [machine-learning-model]

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23 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
13 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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4answers
67 views

How to build a model where multiple data points contribute to a result

I’m trying to figure out how to massage data and model the following scenario: Customers at a restaurant rate the quality of the service between 1-10. I have data on individual interactions between ...
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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
9 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
27 views

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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0answers
16 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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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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1answer
57 views

Random Forest Techniques/Models

Can anyone tell about different Techniques/algorithms of Random forest? I know, Random Forest is itself an algorithm/model, but I'm looking for another version of it as we have in decision trees. List ...
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0answers
27 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
397 views

AxisError: axis 1 is out of bounds for array of dimension 1

I've used svm classifier. Now I need to construct the confusion matrix. Here is the code that I have used. ...
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1answer
31 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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1answer
371 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, ...
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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&...
1
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1answer
45 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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0answers
34 views
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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 ...
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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 ...
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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
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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 ...
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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
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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
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1answer
40 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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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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0answers
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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2answers
550 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, ...
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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 ...
1
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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
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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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 ...
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3answers
355 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 ...
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1answer
30 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 ...
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2answers
69 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
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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 ...
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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 ...
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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 ...
0
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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, ...
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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. ...
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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
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6answers
218 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 ...
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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
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1answer
283 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
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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 ...
1
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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
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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 ...

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