All Questions

I made a classifier with sci-kit learn. How do I deploy it on data? I see the results but I want to see the account data (in excel) that labeled it. For example I want to open an excel sheet and have ...

Label smoothing often helps accuracy, but I'm modeling a game where only some of the possible move outputs can be legal at a time, so I think it makes sense to smooth the labels among currently legal ...

I would like to compare two columns and find common values sets in each column, then output the rows with the common values. Let's say I have a dataframe with: no.(col1) | Username (col2) | Referral(...

Assume you have the ratings of $n$ users for $m$ movies in a matrix $R \in \mathbb{R}^{n \times m}$. You compute a representation $$R = U \times \Sigma \times V$$ by initializing $u_i, v_j \forall i ...

I am training a deep autoeocoder on numerical data, with python jupyter notebook. I have 17 samples, each with 534 values, and my auto encoder has all layers to 534, but even after 5,000 epochs, the ...

****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 ...

I would like to create blurred images from images obtained from large pdf with the intention of creating a training data set. I would like to create the blur as shown in the uploaded picture. Which ...

The problem: Two large databases, with ~1M records each, "old customer data" and "new customer data". The data came from different sources and was ingested at different times, so there are many ...

The Situation: I have a simple neural net with an input vector that consists of the euclidean distance between the attributes of two cars. (For example the attributes would include wheel size, car ...

I am performing sentiment analysis on a custom dataset of text with Keras but am a little confused about word embeddings. I have been able to train an "Embedding" layer and have also learned to load ...

Matlab's train command internally splits the dataset into train,val,test: ...

There's something that is bothering me in Regularization. There is one bug with the loss function when I just use for e.g. a multi-class SVM loss. Suppose that we have a dataset and a set of ...

I'm attempting to develop a recurrent model to forecast the value one step into the future (i.e., $x_{t+1}$), given its history $(x_{t-h},\cdots,x_{t})$, where $h$ is a fixed hyperparameter for the ...

I have to execute GridSearchCV() cell every time I reload the page and it takes a lot of time. Is there a caching mechanism which stores the GridSearchCV result so that I can use it without executing ...

I am trying to implement an RNN in TensorFlow 2.0 (beta1). Looking at the layer functions (inherited from Keras) I found: tf.keras.layers.LSTM and ...

I'm trying to understand the contribution of each feature towards a specific classification. Let's say I have clients as my data and their features are income, debt and age. We're trying to predict ...

My understanding is that Faster RCNN is an architecture for performing object detection. It finds objects in an image and classifies them. My understanding is also that VGG-16, RESNET-50, etc... also ...

I want to be sure my understanding of the problem is correct. I want to do image classification and current state of the art in my field is achieved by transfer learning with VGG16. Since image on ...

Is there any formula which estimates the training time of a CNN? (with respect to the number of layers, the size of the dataset ...

I am pretty new to Python and this board so I am not sure, if I am at the right place for my question since it doesn't include any code. If not so, please give my a hint for a better way/place to ask. ...

I have the following model, where validation loss and training loss is constant. I am processing twitter posts for sentiment analysis. ...

Say you come across a loss curve as shown below. At which loss should you trust the model? The initial lucky guess or after it has stabilized? And more importantly, why?

using the following data I have attached below, how can I predict who will win in the next ODI match? I want to consider the data of last 5 years only i.e.2011 to 2016. https://www.kaggle.com/jaykay12/...

As I was reading Y. LeCun's paper on Deep Learning (Nature, vol. 521, 2015), I came across a figure (the 1st one in the paper) which was associated to the backward pass during backpropagation through ...

Often when i get a new project in machine learning the client always ask me either to do a particular task like a prediction for one thing or give me data and ask me to find what i can do with it. i'...

I have an image of a chessboard which I segment into its constituent 64 squares. I want to construct a binary classifier which can detect which square contains a piece or not. I know how to do this ...

I am working on two different datasets, one of them is a simulated dataset and the other is a real-world dataset. My understanding of RNNs was that they work well with sequential data where a ...

CalledProcessError: Command '['java', '-Dfile.encoding=UTF8', '-jar', 'C:\Users\105051884\AppData\Local\Continuum\anaconda3\lib\site- packages\tabula\tabula-1.0....

The data set which I am using to predict y_pred does not contain any nan value. Don't know what to do.

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I am looking for image extension GAN with support of pattern drawing/extending to a desired image size. And photo as an argument to generate corresponding result. Trained on: Areay of photos of ...

eigendecomposition or sometimes spectral decomposition is the factorization of a matrix into a canonical form chapter 2 in the deep learning book says If any two or more eigenvectors share the ...

I am using a quantized MobileNet model for inference tests. I use an Coral Edge TPU and my CPU. For the Edge TPU I use the class ClassificationEngine. For the CPU I use the tensorflow lite interpreter....

Is there any prior work on the above topic? Currently, I am working on Domain Adversarial Neural Networks and merging it with VAE to improve generalizability and transfer learning. I could not find ...

I have graph like this for that data. When I make adfuller test: ...

I have a dataset similar to newsgroup20 for classification. With the training dataset, I have a dictionary data set that explains some jargons in the training dataset. These both are different data ...

I am wondered how I will compare different vcf files which contain genetic profile in Python? Each vcf file contains profile for a single entity/animal/human etc. I can read each vcf file into ...

I went through this, as I have a similar requirement (at least what I think, correct me if wrong) of classifying resumes(.doc files) based on the profiles. I have a ...

Is someone familiar with such an approach: Suppose I want to build a bayesian neural network, with distributions over my parameters instead of point estimates. First I train my network with standard ...

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I have the following code that shows 10 dataframe column values separated by categories PREFERENCE = GOOD and PREFERENCE = BAD. Is it possible to expand the layout horisontally so that instead of 2 ...

Can someone suggest some papers about the multi-classification methods by SVM? One against all? A good survey or paper which ...

Do you know any datasets that contain animals and their accurate classifications? I am looking for any dataset that categorizes animals. For example: a dataset with insects, with an image of an ...

I heard if the observed data that will be used in the inverse probability weighting method is too small, the estimator based on the weighting will have a large variance. Could you explain why that is ...

I have a dataframe with columns as defined below. For each of these variables ...

I'm a complete newbie to PCA and I have 3 sets of values which I want to plot with PCA. This is what I am using: ...

I have composed a customized loss function (kl_loss): ...

I have test scores for a lot of schools and I created a performance index calculated using the last score of a state test. This index is supossed to predict the performance of the school in the next ...

Currently, I am figuring out how to tackle this problem. I have a dataset of response times for various scripts. These scripts each have multiple steps, of which each step has multiple sub-steps. ...

I have a dataset of chromatic and monochromatic galaxy fluxes which looks like inverted V shape as follows: ...