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Questions tagged [machine-learning-model]

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How do concatenate over many datasets?

I am working on a project where I would like to take two timeseries datasets and train a machine learning model. Say for example, APPL stock performance and MSFT. These are two different excel ...
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1answer
22 views

What is a basic object detection/localization ML algorithm that can be used for my relatively simple image set?

I have a relatively simple object localization task. I have an image set that are either uniform or contain an 'object' consisting of a black circular shape at some position in the image. The labels ...
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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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How to know all the mappings of features which have been encoded using LabelEncoder in a dataset? [closed]

If I have encoded multiple columns in a data, how to know the mappings of each of these encoded columns?
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1answer
75 views

Machine learning model to predict the best candidate

Problem: I would like to build a machine learning model that can predict the best candidate from any given set. What could be a good architecture for such a model? Given: I have several training ...
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52 views

Training data : forecasted or actual?

I am working on a time series prediction problem. I am using keras models for machine learning. For this prediction, weather variables are used as input. They can be of two types: forecasted and ...
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10 views

Robert hecht Nielsen step function

For Hecht Nielsen step function which library is used or equelent pyhton?? If anyone know about this,any help will be appreciated.
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How can I replace an operation in a pretrained graph

So I have a tensorflow graph saved in a .pb file, it works well on my machine, but when I run it on tensorflow v 1.3 it loads fine though it crashes with the ...
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1answer
22 views

Error: ValueError('%r cannot be used to seed a numpy.random.RandomState')

I am getting this error message while trying to fit a model for the isolationForest algorithm. ...
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1answer
26 views

When does fitting happen in KNN?

In training session, model fitting happens to reduce error. But does KNN do this? Reducing error only happens due to changing K value and number of features, isn't it? So training set and test set ...
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1answer
19 views

Is there a model that can adapt to additional new training data with different columns?

My training data comes in batches. Sometimes, new batches (completely new samples) come with new columns that are not in old batches, or they may be missing some of the old columns. For example, ...
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What to do if we have less or greater number of emition probabilities(observed sequences) than Hidden States in HMM?

states = ('Rainy','Sunny') observations = ('walk', 'shop', 'clean') observation 1 = ('walk', 'shop', 'clean') observation 2 = ('walk', 'shop', 'clean','eat pizza') observation 3 = ('walk', 'shop',...
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Is it always better to using stacked LSTM than single LSTM?

I am currently studying LSTM and RNNs. I came across several concepts like Multidimensional LSTM and Stacked LSTM. I have used Stacked LSTM and it gives me a better performance than single LSTM. As ...
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2answers
55 views

Low accuracy in multi-class classification despite all data being generated from rules

I have a well defined data where i have cleaned up my data to final form which has 20 features mapping to a number between 1 to 100. Upto 5 features are enabled(value set to 1) for each row. The data ...
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Can I forecast with discontinued data using ARIMA?

I have data for sales on monthly basis, but a few months' information is not in the CSV file or data file. Can I forecast or fill that missing month with other calculated values from present records? ...
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86 views

Algorithm for SVD based recommendation engine

I am trying to build an SVD based recommendation engine for MovieLens database. After going through multiple online tutorials and resources I have understood how SVD works if a user-rating matrix is ...
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2answers
84 views

How important is the input data for a ML model?

Last 4-6 weeks, I have been learning and working for the first time on ML. Reading blogs, articles, documentations, etc. and practising. Have asked lot of questions here on Stack Overflow as well. ...
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1answer
90 views

What models do Create ML and Turi Create use

I'm taking a course on Apple's machine learning technologies. I just came across this paragraph: Turi Create and Create ML are task-specific, rather than model-specific. This means that you ...
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1answer
34 views

What are some possible reasons that your multiclass classifier is classifying alll the classes in a single class?

I have unbalanced classes. Group1 N = 140 Group2 N = 35 Group3 N = 30 I ran the code on this data and all the Groups got classified as Group1. I thought that since group1 is the majority group this ...
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1answer
53 views

Keras exception: Error when checking input: expected dense_input to have shape (2,) but got array with shape (1,)

I have an understanding of this error, it means that the input that I'm passing to the model is of a different dimension that what was expected. The error also states that the input that I'm passing ...
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0answers
23 views

Contacts/Issues forecast based on orders

I'm attempting to start a project for my current job while I learn and try to apply ML. I would like to create a model for which I can input historical orders data and output historical issues/...
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2answers
21 views

What is purpose of partial derivatives in loss calculation (linear regression)?

I am studying ML and data science stuff from scratch. As a part of the course, I am studying how the models are derived. And for most of them, starting with the simplest - linear regression, we take ...
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1answer
22 views

methodologies for ML algorithms audit [closed]

Is there any good reference for methodologies on quality assessment of machine learning algorithms design. The scope is wide and embraces each steps from data preparation to generalisability testing. ...
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1answer
35 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....
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1answer
43 views

Metrics for Evaluating Performance of Logistic Regression

I built a Logistic Regression model and I would like to evaluate the performance of the model. I would like to understand its evaluation metrics. What do the metrics Sensitivity, Specificity, False ...
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1answer
43 views

How to improve Regression Model with High Training Performance and Low Test Performance

I am performing regression analysis on some data. I keep getting very high training score and low test score. My code is below, what can i do to enhance it? Thank you in advance. ...
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Machine learning approach in Irrigation

I am new to machine learning. I am working on a project of Machine learning irrigation problem. I need to study on particular crop (ex. Rice crop). I have to apply the machine learning approach to ...
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1answer
18 views

Why is pre and post silence important when collecting speech data?

I've been wondering why it's important, when collecting speech data for AI machine learning, to collect pre and post silence for speech data? Is it just so the machine learns and understands the ...
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1answer
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where does kmeans store its trained model parameters in scikit learn?

Like in linear regression, there is model.intercept_ and model.coef_ but in kmeans i found ...
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3answers
56 views

How to predict future sales based upon last year sales data? [closed]

I have past 1 year of sales data and now i want to predict sales for next coming year. How can i predict it.
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1answer
51 views

Train a model for unstructured data [closed]

I am new to Machine Learning. I want to develop Curriculum Vitae recommender system. I want to determine how similar 2 CVs are, and given a random CV, it suggest which cluster of CVs it belongs to? ...
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2answers
39 views

SVM radial basis generate equation for hyperplane

I would be very grateful if I could receive some help regarding generating hyperplane equation. I need to generate an equation for hyperplane, I have two independent variables and one binary dependent ...
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0answers
140 views

TypeError: __init__() got an unexpected keyword argument 'Log_dir'

I am trying to build model to convert Sign Language to text. I am facing some problem while trying to create and using tensorboard object inorder to visually see the output and optimize my model. <...
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2answers
62 views

Model to predict based on frequency of occurrence

I have the following dataset +-----------------------------------+ | Passenger | Trip | +-----------------------------------+ | John | London | | Jack ...
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1answer
46 views

How to launch a Machine Learning model? [closed]

First of all thank you for taking your time to read my question. I have done a Machine Learning model with a dataset (The famous one about Cancer) and I want to know how can I do to predict the ...
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1answer
14 views

inner workings of Mobile-net resolution multiplier - what does it do?

i have a question concerning the way Mobile Net's resolution parameter works. From the article itself and from the blog posts on the topic (1, 2) I wasn't able to find an answer to my question. It is ...
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0answers
56 views

very low recall value using random forest

I have download this data-set which can be download from here. I have tried everything I can think of, such as one-hot encoding the output, standardisation, removing outliers, remove columns with too ...
2
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1answer
46 views

how to predict content based demand

this is my first post at ds StackExchange, so please be gentle and let me know if something is not clear :) I have many products (>1M), and I save all the products purchases in a DB with a time stamp....
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0answers
40 views

Stacking with missing predictions from models [closed]

There are several models A, B, ..., Z. These models may not give a prediction for any of entities from id1, id2, id3, .., idn. What approaches will be more suitable for stacking in these situations? ...
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37 views

How to deal with count data in random forest

I am working on a classification model where my target class is a biased class with the class shape as 0 1 20694 101 Most of my features are the ...
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0answers
53 views

ML/Statistical Model to Analyse the Distribution

Consider a Sample Data-set provided below; ...
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3answers
83 views

Least Squares optimization

The cost function given as $\hat{\beta} = (Y - \beta X)^T (Y-\beta X)$ is used to evaluate the weights $\beta$. Here $X$ is the data and $Y$ is the output. On taking the derivative, we get the ...
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1answer
71 views

ML: How to think feature selection?

What is the basic philosophy behind feature selection and modelling? How do you actually start? Could you please share your real (practical) inputs? Bit of background: I am actually trying to analyse ...
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0answers
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What is the interest to implement a statistics model in a groupby object instead of use the whole groups in a sample?

I saw this topic and also this one in dask documentation. I wonder what is the real interest to make a model for each group instead of considering a whole sample where all groups would appear? As far ...
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1answer
37 views

Machine learning using python

ImportError=cannot import name 'GaussionNB' from 'sklearn. naive_bayes' (F:\anaconda\lib\site-packages\sklearn \naive_bayes.py How I can remove this error!? ...
2
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1answer
50 views

What Machine Learning Algorithm could I use to determine some measure in a date?

I am getting stuck with this problem. Let's say that we have the next information. CustomerID: 1, Date: 3/2/2018, Quantity: 3, Total: 390.78, Min: 130.26, Max: 130.26 We want to determine given a ...
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25 views

Is it possible to build a univariate decision tree which classifies exactly similar to a 1-NN using the Euclidean distance measure

The main objective is here 1NN with Euclidean distance model can be similar to the univariate decision tree.
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2answers
39 views

Machine learning models for predicting good machine settings given bad machine settings [closed]

I’ve a dataset about a machine that produces a product. Salient features about the dataset: • For each data point, some of the features are machine settings (calibration factor, grind time, ...
2
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1answer
54 views

What is the most appropriate machine learning approach for this scenario?

The scenario is pretty simple, and I'm sure it's been done a million times. The problem is i don't know the terminology to find the correct resources on the web. Scenario: I have an environment that ...