Questions tagged [machine-learning-model]
A machine learning model is a simplified representation of a dataset, derived from statistics in the data, used to make predictions. It can represent patterns, behaviours or features within this dataset which have been learnt by the algorithm during training.
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Forecasting Consumption for Multiple Products for Multiple Regions
Came across a very interesting Real-World Time Series Forecast Problem.
Can you please help me understand the right track to resolve the below Time Series problem:
Input Data Sample:
and we want to ...
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Is it possible for a feature not correlated with a dependent variable to become important in a machine learning model?
Is it possible for a feature not correlated (or faintly correlated) with a dependent variable to become important in a machine learning model?
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Why can a model's SHAP values change on a new dataset?
Background
I'm validating a model and as part of the process I've been calculating SHAP values for different validation datasets.
I've calculated SHAP values for every sample in each dataset taken ...
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Test set won't have all the features present in the training set
I have to analyze a cardboard packaging system. To simplify, it consists of three parts, each of which needs to be set up (this depends on the pre-order): the printer, the slotter, and the cutter. The ...
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How to perform Grid Search on NLP CRF model
I am trying to perform hyperparameter tuning on sklearn_crfsuite.CRF model. When I try to execute below code, it doesn't give any exception but it probably fails to perform fit. And due to which, if I ...
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How to retrain a K-Modes model based on daily data?
I have read that retraining a model depends highly on what you are trying to achieve. I am conscious that maybe I need to retrain my model daily and after a certain time I have to train the model ...
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Build autoencoder for single matrix with integer numbers
Can you please tell me how to build an autoencoder with a single matrix(4,4) with integer numbers?
I want to build an autoencoder for the below-mentioned data. I don't know whether I should convert ...
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Question regarding coefficents regarding linear modeling in R
I had a question regarding the composition of coefficents of a linear model in R.
Let's say my model is as follows, with three columns/independent variables: X, Y, and Z.
And my model is: (X * Z) + (Y ...
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How can I convert a numpy array of tensors to tensor of tensors?
It is my first GRU model so pardon the stupidity. I am trying to learn by training a simple GRU network on variable length sequences. The sequences are numpy arrays of tensors. The length of numpy ...
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Frameworks vs models
My second question (Models vs algorithms) is what is the difference between models and frameworks?
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Two-level (large category and small category) label classification problem
At present, there is an app classification task, the input is the function description of the app, and the two labels are the major category to which the app belongs and the small categories under the ...
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Building a prediction model for dynamic coordinates and later categorize as binary classification
Project Summary
I have a website (academic project) that records mouse movements such as click, mouse up, mouse down, etc. It records the coordinates for each event on a given web page from a visitor....
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Deciding Initial Weights In A Linear Classifier For Sentiment Analysis
I would like to build a simple sentiment analysis classifier using logistic regression. I downloaded a list of positive and negative words from cs.uic.edu. There are more than 6000 words both positive ...
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ML model deployment architecture?
I came from a software development background and we have separate servers of the same database (dev, test, prod). The reason for this is because we develop our apps against the dev DB, run tests ...
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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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Open Source Model or dataset for attention map visualization
Helloo (:
I'm trying to develop a python application where users can upload an image e.g. of their website and receive a heatmap or attention map in return. This map should indicate where users are ...
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Incremental learning on Autoencoder for anomaly detection
I want to incrementally train my pre-trained autoencoder model on data being received every minute. Based on this thread, successive calls to model.fit will incrementally train the model. However, the ...
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Does it make sense to train data in scikit-learn and copy+paste parameters into Rust's linfa?
I have a situation where my data can only be read from in a hosted Python environment, due to data security reasons. However, I am constrained to run ML models in a Rust environment due to work-...
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Estimating location in a model
I have a big dataset with 10 columns and about a 100,000 rows. Each 5 rows represent a person being tracked and the data related to this tracking such as time, velocity, etc. the last two columns are ...
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Is there a way to make keras custom test_step aware of the call being made from model.fit and model.evaluate
I am using keras custom model with custom train_step and test_step methods overwritten. Also, have a need to change certain margin used in the loss function, only for test dataset. In other words I ...
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I've a dataset contains all details about the employee and have to predict whether he is good or bad based on the other features
I've a dataset contains all details about the employee and have to predict whether he is good or bad based on the other features, what is the suitable ML algorithm to predict this kind of target ...
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Machine learning and time-based data
I want to predict conversion rates for an eCommerce store. I have data from Google Analytics with features like averageSessionDuration, bounceRate, numberOfVisitorsBySource etc. and the corresponding ...
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Build a predictive model for number of hockey goals in a season for an individual player
I'm looking to build a predictive model for hockey players individual statistics. My goal is to predict how many points a player can be expected to have at the end of the season.
To do so, I thought ...
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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 a 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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Why does my model learn with Ragged Tensors but not Dense Tensors?
I have a string of letters that follow a "grammar." I also have boolean labels on my training set of whether the string follows "the grammar" or not. Basically, my model is trying ...
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Do ML model measurements and validation standards (e.g. NIST, ISO) exists for the finance, healthcare, and technology industries? Provide citations
Normally, for example, we talk about splitting datasets into training and test datasets. But. The splitting % per train and test sets happens in a subjective manner. Sometimes. The train is 60% or 70%,...
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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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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 these ...
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How can i create model to match nested geometric image with child geometric images
image1 is a nesting file and image2 is child file ,i want to find child file is contain in nesting file or not.We tried using random forest but it did not work.can you suggest some good image matching ...
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LLAMA MODEL WITHOUT USING HUGGINGFACE API
Is it possible to obtain the llama model alone as open source code without using the Huggingface API so that it can be hosted on our server?
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What model to use to match persons
To gain experience with AI, I am working on building a simple app where students can create a profile. The student's bio is read by NLP and the student is given a number of tags that he is good at. So ...
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What causes explosion in MSE when training?
I (probably) well overfitted/overtrained a model. But I was just curious as to what might cause this type of behaviour. I carried on training (Epoch 1/50 is not the first epoch of training this model)....
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What algorithms can handle probabilistic targets?
I have a classification problem where I want to want to use probabilities instead of classes to train my model to learn to output probabilities. In my dataset, I have instances where the probabilities ...
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How to use new dataset on a pretrained neural network model?
I have built a dataset that I would like to pass to a pretrained model in oder to perform some predictions. I am looking for some steps/processes to guide me in this. Should I fine tune?If so what ...
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Align Vectors are Easy to Learn?
I have three vectors $x,y_1,y_2\in\mathbb{R}^{n\times 1}$, where $x=y_1$, $x\perp y_2$. If I use $x$ as input of a 2-layer perceptron, will regressing $y_1$ be easier than $y_2$ (i.e., when fully ...
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Identify same product
I am new to ML and still learning it.
My problem is to identify duplicate products. I have a dataset containing product details such as name, colour, size, description, features etc (there are ...
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Workflow when making a machine learning model
I'm new to data science, and kinda confused with the workflow and steps to make a model. Before learning the math and concepts behind the algorithms like SVM, linear regressions, etc, I would just ...
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How to improve machine learning model using 2+ datasets
I am building a supervised machine learning model which (for example) predicts heart failure (yes/no). I have two datasets from 2 different labs A and B, which both have decent distribution, aka it's ...
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How can I labelling a sequence of network traffic to one single classification?
I want to labelling network traffic (several .pcap-files) to different classifications. But this network traffic are not just one entry, there are sequence of entries (~50).
So how is it possible, to ...
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How can I "export" a model from Orange once I have prototyped a solution?
Using Orange, I would like to use the underlying python model within the control system of my device. A device is a simple machine that is not connected to the internet. My intent is to use the ...
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Identifying recurring transaction clusters (subscriptions) at a user level
I need some help converting this issue into a machine learning problem.
Goal:
Grouping credit charges into clusters of recurring transactions per user
Input data:
List of credit card charges with
<...
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Suggestions to learn the Machine Learning models in greater depth?
I've been learning machine learning for the past few weeks from books and online courses. The books I've been reading, and currently still reading is "Hands-On Machine Learning with Scikit-Learn ...
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Keras deep learning speaker identification model excels during training and then fails predictions
I am attempting to create a 1:N speaker identification model with Keras using a TensorFlow backend. I used the LibriSpeech corpus for training data, and preprocessed the data by first converting each ...
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overfitting or not
Hello so i'm building a classification model i train my on various models and these are the metrices so i want to know if ther's an overfitting or not
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Is it possible to overfit a simple single variable linear regression model?
I searched this question and the answer I got was about a general regression model, rather than a single variable, linear regression model. If you increase the number of variables, you could fit a ...
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Why a CNN with decreasing filter layers sizes could perform better than a "regular one" with increasing sizes?
I did dozens (or probably hundreds) of tests and the best result with less total parameters(4 times or less) was a decreasing filter layers size architecture. This is a CNN for multiclass image ...
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Estimating the uncertainty of regression models
Given a regression model, with n features, how can I measure the uncertainty or confidence of the model for each prediction?
Suppose for a specific prediction the accuracy is amazing, but for another ...
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Why would multiple activation layers be used in a row?
I'm learning about ML and I was looking at
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Binary Classification Comparing two time series of variable length
Is there a machine learning model (something like LSTM or 1D-CNN) that takes two time series of variable length as input and ...
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