Questions tagged [machine-learning-model]

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Using Unsupervised / Supervised Learning for RGB manipulation

I need to teach a model(or any substitute) for automatically adjusting the concentration of R, G, and B values until they make up white colour. i.e, tweak the RGB values (beginning from some arbitrary ...
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2answers
31 views

How to convert trained data (feature extracted) into a prediction model? [on hold]

Background: I am analyzing and labeling some log data. (parsed already, sample data below) I have extracted the major features of data. For examples, the classification results ("1 - normal" or "0 - ...
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4answers
30 views

How to know if my Decision tree model is good or bad?

I have built a decision tree model. I am not sure if it is good or bad as i am new comer in ML. Kindly help to evaluate my model" Here is my code which i used, ...
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1answer
20 views

How to normalize a position in 3d game?

I'm pretty new to anything and everything related to this kind of stuff, I was wondering how would I normalize the coordinates of a entity in my game for a nerual network? Would it just be the same ...
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0answers
3 views

How to design a distributed system to deal with X amount of data given Y resources? [closed]

How to design a distributed system to deal with X amount of data given Y resources?
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1answer
34 views

Calculate future GDP % using machine learning

I need to estimate the GDP % of a country three years into the future, based on historic data. I have 30+ years of the following monthly data that includes features such as inflation and unemployment ...
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2answers
60 views

What is the best way to approach this problem? [closed]

I'm new with data science, but I'm familiar with python3. I'd like to solve a problem with machine learning, but I'm totally new to this field, which is why I am looking for someone kind enough to ...
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1answer
21 views

How to deal with evaluations in a multi step ML pipeline

Apache Spark provides us the pipeline to construct a ML pipeline. Moreover, we can evaluate the regressors in the pipeline, now here is the point I dont understand: how to apply to testing data. Ok, ...
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1answer
23 views

R package vs REST API

I have a logistic regression algorithm in R to predict irresponsible users. I need this to be as flexible as possible for any market. I would need to use the logistic regression algorithm to ...
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0answers
4 views

Getting error while using label encoder class

So , thing is I was working on titanic dataset . During data preprocessing when i tried to use LabelEncoder I got the following error. Here X contains the train set while X1 contains the test set. As ...
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0answers
3 views

Approach recommendation to enhance time step determination in dynamic simulation

I am developing a specialized tool to perform dynamic simulations of a specific family of physical systems. This tool has two major parts: establishing the kinetics, and deciding how far into the ...
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1answer
31 views

How to Improve Low Accuracy Keras Model Design?

I am trying to train a system that looks at some data points and predicts the quantity of surfers on a surf break. I have labeled the pattern for the past 2 months and I have 1500+ training examples ...
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1answer
17 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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1answer
41 views

How do I deal with missing values in a data set?

I am trying to build a binary classification model which predicts whether a patient would me infected with a certain disease at the the end of his hospital stay or not. The features that I have are ...
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1answer
16 views

ensuring that dependent variable decreases monotonically with independent variable

I have one key relationship between a numeric independent variable X and a numeric dependent variable Y, which is like a negative exponential function determined by 2 parameters. There are other ...
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1answer
18 views

Why doesn't the binary classification log loss formula make it explicit that natural log is being used?

I'm completing a DataCamp course where we are introduced to the log loss formula for binary classification: Two scenarios are given to show how the formula is used. One with p=0.1 and one with p=0.5....
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1answer
18 views

Understanding the multidimensional-nature of the data being fed to a RNN and its output

Assuming we have a time-series dataset whose window_size = 30 and the batch_size = 4, which makes the overall input = 4*30 (2D). But as RNN expects 3D input, ...
2
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1answer
21 views

Bi-directionality in BERT model

I am reading the paper BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding that can be found here. It looks to me that the crux of the paper is using masked inputs to ...
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0answers
15 views

converting .hf to caffe

I am converting .hf model to caffe model. I have created .prototxt of my model and also extracted the weights. The problem I am facing is to create .caffemodel from my existing model because my model ...
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1answer
23 views

Unable to understand the usage of labels argument in sklearn.metrics.f1_score

I am trying to model a dataset with RandomForest Classifier. My dataset has 3 classes viz. A, B, C. 'A' is the negative class ...
2
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1answer
36 views

Is Nvidia Jetson product family also suitable for machine learing model training?

I recently came accross these products (Nvidia Jetson) and they are all tagged as "edge", so i think they are designed only for machine learning inference and not model training. They are quite ...
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0answers
9 views

LSTM training one time step at a time, and accessing prediction after each time step

I have been playing around a bit with keras LSTM but I have some confusion about it's potential applications and how to make use of it. I am new with RNNs so please correct me when I am wrong. Say ...
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2answers
27 views

Is the _error_ in the context of ML always just the difference of predictions and targets?

Simple definitional question: In the context of machine learning, is the error of a model always the difference of predictions $f(x) = \hat{y}$ and targets $y$? Or are there also other definitions of ...
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16 views

At what value of Accuracy of train and test we can say Model is overfitting and Underfitting? [duplicate]

At what value of Accuracy of train and test we can say Model is overfitting and Under-fitting?
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1answer
11 views

Keras: Misunderstanding what Keras does when invoking a Model, providing an Input?

In a class named Generator, I have defined a model with the below method define_model: ...
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2answers
40 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
14 views

How to shift LSTM predictions results?

I am trying to build an LSTM model to forecast one feature for a continuous 66 future timesteps. Below is my LSTM architecture: ...
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2answers
41 views

How significant the variables like “id”, “region code” etc are in the predictive modelling?

I participated in one of the hackathon. And there the variables were like id, region, gender, age .etc. It was a regression problem. I did scaling on the variables. But I am not sure what to do with ...
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0answers
22 views

Significance of AUC score

My model (Logistic Regression) has AUC score of 0.8 Am I right in stating that the probability of the model ranking a random positive sample higher than a random negative sample is 0.8? Also, how ...
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0answers
5 views

About the performance indexes for a regression model by non-parametric machine learning

I am new to machine learning (I usually use MLR to build models). I would like to know what are the performance indexes for a machine learning regression model. RMSE? MAE in %? R2? (i noticed that ...
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0answers
13 views

Getting Error while predicting during deploying simple ML model with Flask

I have deployed a simple titanic (doing for testing purpose) model with Python Flask. I am using below server.py (Flask app start and predict API code) and request.py (JSON request) code. Getting ...
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0answers
7 views

Issue with using PCA on MLPClassifier

I'm trying to tune my MLPClassifier using GridSearchCV, but it takes ages, so I was wondering if using PCA data will decrease ...
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0answers
13 views

Predicting electricity consumption in a household

Please I need your help in brainstorming on a problem. I have a community, in this community, every household has a 'power device' that powers the household. Households need to buy power units from a ...
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1answer
17 views

MLP Parameter tuning - gridsearchCV cannot fit?

I'm making an MLP classifier for binomial classification from 145 features. I want to get the best parameters on my MLP classifier to get a better prediction so I followed the answer to this question,...
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1answer
20 views

ML Approach for Getting List of Observations with Similar Features (Discrete+Continuous)

I have a dataset with 19k observations. Each has approximately 448 features: - Text description turned into vectors of size 300 - 16 categorical variables represented numerically - The remainder ...
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31 views

do I need to upload all model files?

here is the link of the model inside the link there is a biobert model and i do not understand that how can i implement this model on a simple html page where there is a textfield for the model input? ...
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1answer
45 views

Transfer learning VGGish (AudioSet). Impact of zero padding to fit the input size

I am trying to train a network on top of the VGGish architecture (https://github.com/tensorflow/models/tree/master/research/audioset/vggish), using (transfer learning) finetuning. I initially started ...
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2answers
32 views

Suggestion of a model for these type of data?

I've got a data set that looks like this ...
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1answer
24 views

Machine learning for object states

I have the objects pool with histories of their states, where each transition from one state to another takes some time, ex: $$ object\ 1: A \overset{1s}{\rightarrow} B \overset{2s}{\rightarrow} C \\ ...
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0answers
9 views

H2o Flow Model creation Notification for external application

I have a requirement.I would like to trigger an event from h2o flow (through RESTful API preferably) whenever I create a model in h2o flow webUI - for.e.g ,the moment I create model M1,I would like my ...
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2answers
28 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 ...
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2answers
33 views

Model with two targets(classification, regression)?

I have a dataset with features like Cylinders, Transmission, ExteriorColor, OdometerReading, StockType(New/Old), MakeModel, ModelYear, SoldYearMonth, CountSoldByMonth, Price, TopSelling. Target ...
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0answers
19 views

Can Facebook's Prophet be considered a “type” of AI? Like and CNN or RNN

I'm facing a problem to determine if the model Prophet developed by Facebook team is some kind of Neural Network or similar. Someone has an answer for it? In Github repository has the following ...
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0answers
9 views

ARCH and GARCH model working and R code for its implementation

my time series data set doesn't have a proper trend or seasonality. Heard about ARCH and GARCH model which works fine on Un-trended data set but I am not finding the proper R code for its ...
2
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2answers
34 views

Supervised learning approach - creating my own labels

Scenario - I have data that does not have labels but I can create a function to label the data based on behavior and deploy the model so I don't have to keep labeling the data. Is this considered ...
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1answer
34 views

How to predict number of orders for coming weeks using previous week's data?

I'm getting confused as how to proceed for this problem: I need to predict a city's food supply, for number of orders, for the upcoming weeks based on previous weeks' data. What should I do? Do I ...
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0answers
32 views

Speed of SVM.. Poly kernel method runs endlessly and never completes execution

I'm using scikitlearn in Python to create some models while trying different kernels. I was surprised to see that rbf was fit in under a second, whereas linear took a minute and poly took hours. Can ...
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4answers
59 views

Keras model giving error when fields of unseen test data and train data are not same

I have created a simple Keras deep learning model in python. Total no of variables in training are 195 while in unseen test data are 181.All input fields are categorical(converted by one hot encoding)....
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0answers
11 views

How to scale out a python based model in the cloud?

This is a question about architecture choice, tools and scalability. Let's say I have a modeling problem that runs in python and uses some libraries moduleX, moduleY, and moduleZ. We could further ...
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0answers
12 views

Converting our model to other formats

I am using NVIDIA platform for running some medical imaging workflows. I came to know that NVIDIA accepts model only in the below formats a) graph def b) saved model c) trt plans d) caffe netdefs ...