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H: How to cluster text-based software requirements
I'm beginner in deep learning and I'd like to cluster text-based software requirements by themes (words similarities/frequency of words) using neural networks. Is there any example/tutorial/github code of unsupervised neural network that groups texts based on themes a... |
H: Story Tag Prediction - Optional Labels
I'm currently working on a prediction for fiction. I have a database with fiction, which are each described with different story tags. My idea is to use a neural network that can tell you by processing a new story which tags are relevant.
The problem is, that the original dat... |
H: Why Heaps' Law Equation looks so different in this NLP course?
I'm actually not sure if this question is allowed on this community since it's more of a linguistics question than it is a data science question. I've searched extensively on the Web and have failed to find an answer and also the Linguistics Beta Stack ... |
H: What's the best way to plot a bar graph with large numeric difference in values?
I'm graphing the value of the Ruble against the US Dollar in the 1990s. There was hyper-inflation from 1992-1997 (where the "y" values expanded from 125 to 6000). On Jan 1st 1998, the government revalued the money to 5. Since then the ... |
H: Why is a lower bound necessary in proofs of VC-dimensions for various examples of hypotheses?
In the book "Foundations of Machine Learning" there are examples of proving the VC dimensions for various hypotheses, e.g., for axis-aligned rectangles, convex polygons, sine functions, hyperplanes, etc.
All proofs first d... |
H: Classifier performance evaluation
I have an unbalanced dataset which has 920 samples in total, 689 belong to the first class, and 222 to second class. and both classes are significant for me.
so when building a classifier model such as SVM or KNN. what measurement should I consider to evaluate the performance of th... |
H: Will a Count vectorizer ever perform (slightly) better than tf-idf?
For the task of binary classification, I have a small data-set of a total 1000 texts (~590 positive and ~401 negative instances). With a training set of 800 and test set of 200, I get a (slightly) better accuracy for count vectorizer compared to th... |
H: What does localist one-hot vector mean in cs224n NLP course?
Chris said one-hot is a "localist" representation.
what does "localist" mean here?
I've searched on recommended text, didn't find explanation.
any clue?
AI: One-hot vector is called "localist" because it contains information only about a single data poin... |
H: Why can't I use data augmentation with a pretrained convnet?
Reading Deep Learning with Python by François Chollet. In section 5.3.1, we've instantiated a pretrained convnet, VGG16, and are given two options to proceed:
A) Running the convolutional base over your dataset, recording its
output to a Numpy array on... |
H: Is it possible for a neural net to score as high as a different form of supervised learning?
I've been working with the Adult Census Income dataset from UCI
http://archive.ics.uci.edu/ml/datasets/adult
I've created two different models, one using a gradient boosted classifier with sklearn, and one with a neural net... |
H: How to measure the performance of a domain adaptation /Transfer learning technique?
Given that the performance you achieve depends on how far the target from the source domain is, how can you judge the performance of an algorithm?
AI: You can measure the divergence between the source and target domain using KL-Dive... |
H: What fits in a Data Description Report/ Data Exploration Report?
So I am trying to get familiar with Crisp-DM and found the terms "Data Description Report" and "Data Exploration Report", which seem oddly vague in their definition. So far I only found this right here:
https://www.ibm.com/support/knowledgecenter/en/S... |
H: Replace method in pandas not giving expected result
I have data as below:
123.12.23.2
110.22.21.23
I want to mask this data as below one
1xx.xx.xx.x
So I tried below code :
readFile = pd.read_csv("C:/Users/siddhesh.kalgaonkar/Desktop/data01.txt",header=None)
readFile.columns = ['IP']
readFile['IP']=readFile[... |
H: How high rmse value can be?
While solving the questions for machine learning, I got two values for R square from 2 different regressors, i.e, 0.9999 and 0.9769. So, which should go for as both could lead to overfitting?
Thanks in advance
AI: Are you asking about rmse or r-squared?
The size of rmse depends on the ge... |
H: Inverse Relationship Between Precision and Recall
I made some search to learn precision and recall and I saw some graphs represents inverse relationship between precision and recall and I started to think about it to clarify subject. I wonder the inverse relationship always hold? Suppose I have a binary classificat... |
H: Labeling classes conditionally
I am working with a time series predicting whether web traffic will increase or decrease each day compared to the previous day for a given user.
Initially I used binary classes: labeled 1 for next day traffic increases and 0 for traffic decreases (which distributed into 60/40 split). ... |
H: Text Dataset Help: Need to figure out how to get the publication date of a text
I am a highschool student working on a science fair project in which me and a friend plan to use a neural network for a classification problem. In this case the thing classified will be text and the labels will be the publication/creati... |
H: Categorical vs continuous feature selection/engineering
I'm working with a dataset with a number of potential predictors like :
Age : continuous
Number of children : discrete and numerical
Marital Situation : Categorical ( Married/Single/Divorced.. )
Id_User : Categorical ( an id of the user who conducted the first... |
H: What does sklearn's pairwise_distances with metric='correlation' do?
I've put different values into this function and observed the output. But I can't find a predictable pattern in what is being outputed.
Then I tried digging through the function itself, but its confusing because it can do a number of different cal... |
H: What happens to a machine learning technique (specifically Decision Tress and Logistic Regression) if the validation dataset has a new category?
Let's suppose I have a dataset which has a categorical variable and the problem I am solving is a classification one.
This categorical variable var has ['A','B','C'] as th... |
H: How Dummy Variables Should Be Modeled In A Linear Regression Model?
I've a cross sectional model where I want predict number of users that take specific service, to make it I've many variables but have specifically two nominal: isWorkday(0 or 1) and weeday(1,2,3,...,7). When I make the model, taking into account th... |
H: Maximize Precision Deep Learning
For some binary image classification problems having close to 100% precision is super important and recall is much less important.
What are best practices for maximizing precision? Setting the probability threshold for model.predict() greater than 0.5 seems like a reasonable approac... |
H: How to feed a table per timestamp to LSTM neural network?
I have a time-series dataframe like this
feat1 feat2 target
date id
0 1 12 16 192
2 15 6 90
3 2 9 18
1 1 0 3 0
2 0 9 0
3 ... |
H: Finding P value - Explain
def get_pvalue(con_conv, test_conv,con_size, test_size,):
lift = - abs(test_conv - con_conv)
scale_one = con_conv * (1 - con_conv) * (1 / con_size)
scale_two = test_conv * (1 - test_conv) * (1 / test_size)
scale_val = (scale_one + scale_two)**0.5
p_value = 2 * stats... |
H: What math topics are most needed to become data scientist?
I am trying to learn data science from very different sources like Coursera, edx and many other sources. But I can not able to find any proper syllabus that what actually topics are needed. So, if anyone can please list out topics that I can follow and able... |
H: Anyone have fruit disease dataset?
I am doing a project on fruit disease recognition and classification. Anyone have an existing dataset of fruit diseases? Can you help me to find one?
AI: I work on plant disease image recognition for my Master's thesis. Until now, I did not find any good database with fruit images... |
H: How to make this plot with python
I want to draw plot by python based on this data
Id Duration (s) BinaryLabel
1 5 correct
2 4 incorrect
3 2 incorrect
4 3 incorrect
5 9 correct
... |
H: How to measure the similarity between two text documents?
Assume, I have 100 text documents, and I want to cluster those documents.
The first step is the construct pairwise similarity matrix 100X100 for the documents
My question is:
what are common way to measure similarity between two documents?
Thanks,
AI: In gen... |
H: Training a classifier when some of the features are unknown
I am training a classifier in Matlab with a dataset that I created.
Unfortunately some of the features in the dataset were not recorded.
I currently have the unknown features set as -99999.
So, for example my dataset looks something like this:
class1: 10 1... |
H: Calculating Confidence Interval at a certain confidence level
def get_ci(mean, cl, sd):
loc = stats.norm.ppf(1 - cl/2)
rng_val = stats.norm.cdf(loc - mean/sd)
lwr_bnd = value - rng_val
upr_bnd = value + rng_val
return_val = (lwr_bnd, upr_bnd)
return(return_val)
This function takes three parameters w... |
H: How to interpreting the exponential coefficent in poisson regression with offset?
I am trying to find the village level risk factors for malaria. Therefore, I ran a poisson model in r with the prevalence of malaria(y) as dependent variable, altitude(x1) and Forestation(x2) as independent variable and log of Populat... |
H: What is fractionally-strided convolution layer?
In paper Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs, in Section 3.4, it said
Since, the aim of this work is to estimate high-resolution and
high-quality density maps, F-CNN is constructed using a set of
convolutional and fractionally... |
H: Generate predictions that are orthogonal (uncorrelated) to a given variable
I have an X matrix, a y variable, and another variable ORTHO_VAR. I need to predict the y variable using X, however, the predictions from that model need to be orthogonal to ORTHO_VAR while being as correlated with y as possible.
I would... |
H: Does a Keras checkpointer save the best weights when using chekpoints with restore_best_weights?
I m training a sequence model in Keras using the tensorflow backend. I've also included some callbacks to save checkpoints and revert to best weights if the model starts to overfit (which it will).
My question - when f... |
H: XGBRegressor hyperparameter optimization using xgb cv function
I am trying to optimize hyper parameters of XGBRegressor using xgb's cv function and bayesian optimization (using hyperopt package). Here is the piece of code I am using for the cv part.
dtrain = xgb.DMatrix(X_train, label=y_train)
cv_results = xgb.cv(... |
H: What are the possible ways to detect skin while classifying diseases?
I am working on a skin disease classification problem where I have successfully created a classifier ( TensorFlow + Keras ) which can classify images of two skin diseases.
The sample image needs to be classified in this manner :
Whether the samp... |
H: How to give a higher importance to certain features in a (k-means) clustering model?
I am clustering data with numeric and categorical variables. To process the categorical variables for the cluster model, I create dummy variables. However, I feel like this results in a higher importance for these dummy variables b... |
H: Different t-test results from R and LibreCalc
while I was trying to apply one-tailed t-test to two vector of data on R, I just wanted to apply same thing on librecalc also and then I noticed that p-values are different. Here is a summary what I have done so far:
in R I applied: t.test(data[,1],data[,2],paired = TRU... |
H: which metric is better for boosting methods
I work on a dataset of 300 000 samples and I try to make a comparison between logistic regression (with gradients descent) and a LightBoost for binary classification in order to choose the better one.
I want to know in this case which metric should I use it and WHY?
Acc... |
H: Should I prevent individuals mating with themselves in EAs?
In evolutionary algorithms, should I always avoid individuals mating (crossover) with themselves? That is, should I prevent the selection algorithm from selecting a single parent twice to produce a child with itself?
I'm interested in the general case as w... |
H: Linear regression incorrect prediction using Matlab
In the plot below the red crossed line is the actual curve and the crossed blue line is the predicted curve. I am using least squares for linear prediction. I have used 1:79 examples in training and the remaining for testing. The test data points are never seen du... |
H: Pandas dataframe with multiple hierarchical indices
I have a data frame which looks like this
FRUIT ID COLOR WEIGHT
Apple 142 Red Heavy
Mango 231 Red Light
Apple 764 Green Light
Apple 543 Green Heavy
And I want the following resul... |
H: What will be the policy if the state space is continuous in Reinforcement learning
I have started recently with reinforcement learning. I have few doubts regarding the policy of an agent when it comes to continuous space. From my understanding, policy tells the agent which action to perform given a particular stat... |
H: How to count categorization instances in a NN?
Say one-hot encoding is the perfect way to represent a series of objects such as clothing items. Ie: A hat is [1 0 0], a tie is [0 1 0].
I want to predict what a customer buys if they spend a certain amount of money, which will serve as an input to the NN. Eg: For one ... |
H: What is GELU activation?
I was going through BERT paper which uses GELU (Gaussian Error Linear Unit) which states equation as
$$ GELU(x) = xP(X ≤ x) = xΦ(x).$$ which in turn is approximated to $$0.5x(1 + tanh[\sqrt{
2/π}(x + 0.044715x^3)])$$
Could you simplify the equation and explain how it has been approximated.... |
H: Delete all rows between two values in a dataframe that repeat multiple times in a column
I have dataframe and let's say inside of it is a column_A. This column_A has 3 strings as values, call them 'new_records', 'deletions', 'changes' that repeat across the dataframe multiple times in that order always with multip... |
H: how to check the distribution of the training set and testing set are similar
I have been playing the Kaggle Competition and I find there is a situation that the distribution of the training set and testing set are different, so I am wondering how to check the distribution of the training set and testing set are si... |
H: How can I get variable values from a plot?
I would like to know if there is any way in python to automatically determine the values of point a and b marked in the graph below. Said a different way, finding the values when my plot shows a marked decrease or after a marked increase.
This is the source code of my plo... |
H: With a MLP (regression), is it appropriate to initialize bias in the final layer to be a value near the expected mean?
For instance, when predicting IQ in a population you would expect the mean to be 100. If you initialize the bias in the final layer you are basically giving the network a head start, telling it in ... |
H: Combining Latitude/Longitude position into single feature
I have been playing with two dimensional machine learning using pandas (trying to do something like this), and I would like to combine Lat/Long into a single numerical feature -- ideally in a linear fashion. Is there a "best practice" to do this?
AI: A note:... |
H: How to encode a time series as an image to feed it into CNN?
I want to try CNN in the task of stock chart pattern recognition. I suspect that feeding a line chart won't work because the image will have a lot of empty pixels.
What time series encoding options are available to get a lossless, dense image?
AI: 1D CNN ... |
H: How to plot logistic regression decision boundary?
I am running logistic regression on a small dataset which looks like this:
After implementing gradient descent and the cost function, I am getting a 100% accuracy in the prediction stage, However I want to be sure that everything is in order so I am trying to plot... |
H: How do I decide if I need to go for Normalization and not Standardization or vice-versa?
While designing a ML model, how do I decide if I need to go for Normalization and not Standardization or vice-versa? On what factor is this decision made?
AI: Before we start keep in mind that in most cases it doesn't play much... |
H: Multi class Imbalanced datasets under-sampling imblearn
I have an imbalanced dataset. I am looking to under-sample. Even though, the oversampling process takes less time, the model training takes a lot of time. I have taken a look at imbalanced-learn website. There are several under sampling methods. I am looking a... |
H: How to create dictionary with multiple keys from dataframe in python?
I have a pandas dataframe as follows, I want to convert it to a dictionary format with 2 keys as shown:
id name energy fibre
0 11005 4-Grain Flakes 1404 ... |
H: Can we use k fold Cross Validation without any extra (excluded) Test Set?
I have seen this in two Papers:
The authors use 10 fold cross validation, and then present the results from this validation or even odder the results from the best Fold as their modelling Result.
there has been no testing data put aside to v... |
H: Running multiple times of a model is for model randomness or data randomness?
When a paper report the average and std of a model on a dataset, it means that they have changed the split of training and test sets and run the model multiple times or they just run the model on constant splitting multiple times to find ... |
H: how to implement a hierarchical clustering technique using parallel execution in R
In R, currently to implement wards method for hierarchical clustering, I use the following code - results <- hclust(data, "ward.D2").
However as my data size has increased exponentially, I wanted to implement parallel execution.
Sinc... |
H: algorithm to predict numeric values with sklearn
I'm new to ML and trying to learn it. I scraped information (using python) from a website where people try to sell their cars. I put data in a pandas data frame. Now I'm wondering how should I predict a car's price according to its manufacturing year and its mileage!... |
H: What's the point of the test set?
I get the point of a validation and training set, but the importance of a test set doesn't click for me.
Let's say you train a model, and you try your best to avoid overfitting by testing your model on the validation set.
After you've decided you have a model you're proud of, you d... |
H: How to mathematically define the architecture of neural network model? And the function space associated with it?
My goal is to properly define a search space for neural architecture search (NAS).
I think a proper definition must handle the following issues.
how to mathematically quantify the topology?
how to defi... |
H: Having trouble figuring out how loss was calculated for SQuAD task in BERT paper
The BERT Paper
https://arxiv.org/pdf/1810.04805.pdf
Section 4.2 covers the SQuAD training.
So from my understanding, there are two extra parameters trained, they are two vectors with the same dimension as the hidden size, so the same d... |
H: retrieve food groups from food item list
I have a dataframe of food items as follows: I have to create a food_group list that gives the food group it belongs to, for-example all type of yogurts should be in one group called yogurt.
I used a snippet to take the first segment of the comma separated name, but I do no... |
H: How to explain get_weight with autoencoder in keras?
I built an autoencoder model of three layers with 9 5 9.
Input dim =9, encoder dim =5, output dim=9
When I get the model weights,
weight1=autoencoder.layers[1].get_weights()
weight2=autoencoder.layers[2].get_weights()
print(weight1)
[array([[ 0.0023533 , -0.02289... |
H: Replace a value in a column if that value appears only once
I have a dataframe, I want to replace the values in one column by "other" if the value count of that value in that column is exactly 1
i Food_group
0 Flake
1 Flake
2 Flake
3 Almond
4 Drink
5 Drink... |
H: Are CNNs applicable on structured data?
I can use CNN to classify MNIST images, but I don't know whether CNNs are applicable on iris data as well? If not, why?
AI: CNNs are applicable wherever the input signal contains spatial information. For instance, you can think of the following list:
1-D signal: Recorded voi... |
H: Preparing dataframe to carry k-means clustering
Im trying to apply 3 different algorithms of clustering on my dataset.
to check which one fits the best. I'm confused how should I convert my dataframe
-k-means
-DBSCAN
-hierarchical clustering
Dataset (bank.csv)
https://archive.ics.uci.edu/ml/datasets/Bank+Marketing
... |
H: Convert a repetitive list into Pandas Dataframe
How do you convert something like this:
A: 1
B: 2
C: 3
###
A: 5
B: 5
C: 6
###
A: 2
B: 5
C: 7
into a dataset where the first row would be the first section with
A as column-1 B as column-2 and C as column-3
so we get this:
A B C
1 2 3
5 5 6
2 5 7
AI: If I under... |
H: Is it OK to use the testing sample to compare algorithms?
I'm working on a little project where my dataset have 6k lines and around 300 features, with a simple binary outcome.
Since I'm still learning ML, I want to try all the algorithms I can manage to find and compare the results.
As I've read in tutorials, I spl... |
H: Printing Feature Contributions in a Random Forest algorithm from the Treeinterpreter library leading to errors
I am working on a dataset where I predict the risks of developing pancreatic cancer with respect to a number of variables. I have created a random forest, and want to find the feature contributions. I have... |
H: Lemmatization Vs Stemming
I have been reading about both these techniques to find the root of the word, but how do we prefer one to the other?
Is "Lemmatization" always better than "Stemming"?
AI: I would say that lemmatization is generally the preferred way of reducing related words to a common base.
This Quora q... |
H: Normalization(minmax) gives me worse results than before in KNN, follow up actions?
Hello I'm studying a classification problem with KNN right now.
I have many numeric features that I normalized with MinMaxScaler, I also got some OHE categorical features that not seem to cause the drop, and with this method my acc... |
H: What techniques are used for machine translation besides RNNs?
I am doing a university report and it seems that encode-decode RNNs are optimal for machine translation. I would like something else to compare it to, but I can't seem to make a proper Google search for it.
Can you recommend what else can be used for ma... |
H: read csv file directly from URL / How to Fix a 403 Forbidden Error
The csv file is downloadable. I can download the file and use read_csv, But I want to read the file via direct URL in jupyter, I used the following code, but I get the HTTP 403 Forbidden
error
from io import StringIO
import pandas as pd
import re... |
H: How to obtain original coefficients after performing linear regression on normalized data?
I am reading data from a file using pandas which looks like this:
data.head()
ldr1 ldr2 servo
0 971 956 -2
1 691 825 -105
2 841 963 -26
3 970 731 44
4 755 939 -69
I proceed to normal... |
H: Continuously training one model with different dimensions each time
I'm trying to solve a problem where I need to train one model with N dimensions and again train on top of that model with M dimensions. How can I achieve it?
To give you guys some context, I have 1 bluetooth beacon talking to 5 bluetooth readers th... |
H: What could cause training CNN accuracy to drop after 7th epoch?
I am training a CNN on some new dataset.
Usually, the accuracy steadily improves over 10-20 epochs.
I have created a new but similar dataset (using same methods) but now I see a sharp drop after 7th epoch, from which is never recovers.
What might this ... |
H: Does PCA decrease the feature on my Data set or just decrease the dimension?
I'm new in AI and sorry if my question is simple. I have a data set and want to use PCA to decrease the feature but after some research on the internet I'm confused about decreasing dimensions and features.
As an example I have a data set ... |
H: What's the difference between multi label classification and fuzzy classification?
Is it just the between academics and practitioners in term usage?
Or is theoretical difference of how we consider each sample: as belonging to multiple classes at once or to one fuzzy class?
Or this distinction has some practical m... |
H: How to find which features have been selected by PCA algorithm?
I used PCA function in MATLAB to decrease features on my data set.
By this code I can reduce features from 12 to 8(as an example). It works good but my question is that how can I found with feature have been removed or which feature are selected on the... |
H: What is Data Lake?
I am familiar with the concept of "Big Data" but how does "Data Lake" differ from Big Data? Is it derived from Big Data? Please explain.
AI: Big Data is a term related to extraction of information from big datasets. It is also sometimes used in context of predictions from large datasets. Big Dat... |
H: Training accuracy decreases
I have a program in which I use sequence to sequence approach as a prediction model with attention. The problem is, while training, the accuracy is always decreasing at each epoch, like shown in the figure attached.
If anyone can tell me the reason, I will be soo thankful.
AI: The scree... |
H: From most frequent words how to extract technical skill words
I've scrape 30 job description web and stored them into a list called job_desc where each item is a job description.
# each item is a list of tokenized job_description
tok = [nltk.word_tokenize(job.lower()) for job in job_desc]
# ignore stop words, bull... |
H: How can I categoriese / classify a cluster of words?
I am just wondering if it is possible to classify word clusters?
For example if I provide you an array of words [bird,chicken,dock,park,apple,grapes,furits,juice]
what I need is to convert this array to something like this (or nearest possible)
[
"Birds"=>[b... |
H: Clustering of users in a dataset
I have a dataset of book reviews:
| user_id | ISBN | vote | votes_for_user | average_user_vote | ISBN_categ |
213 3242X 4.5 12 3.4 1
563 1245X 3.2 74 2.3 2
where
vote = rating given by u... |
H: Need help with entity tagging
I need to design a system which can identify movie and production company names in a sentence.
The approach that comes to my mind is to train a NER Named-entity recognition system on labeled data so that it identifies the corresponding entities. But what about new entities (movie or pr... |
H: Create an Algorithm, that translates human language into code
I am an experienced programmer and want to get into ML. My final goal in ML is to create an algorithm, that converts written human language into a query language like SQL.
Example:
Input:
"Give me all clients, with an email"
Expected output:
SELECT * FRO... |
H: Is it possible to measure the object using deep learning
Is there a way we can measure the length, width and the depth of an object in the picture using deep learning?
AI: Not without some kind of reference object. I also don’t see a reason to use deep learning for such a task.
Sure - you could create a dataset wit... |
H: What does the color coding and normalized values in confusion matrix actually specify?
I am unable to infer anything about the model from the following confusion matrix. What is the color coding actually specifying?
For example, when predicted label is 1 and true label is 1, the value in the matrix at that point i... |
H: Time Series - Values recorded every 10 minutes - Fill missing values
I have a time series data from a sensor that records value periodically - sometimes - every 10 minute period, other times every 5 minute period etc. I have to find out anomalies in real time (as and when data comes) based on breach of a static thr... |
H: How many time a recommender system can recommand the same item to an user?
I'm working on an hybrid music recommender system project, my goal is to create recommendation playlists in accordance with users tastes.
I already implemented the first part which use a collaborative filtering algorithm, and I am now workin... |
H: Help with my training data
I'm working on my first NN following a tensorflow tut and trying to use my own data.
After about 80 attempts of formatting my data and trying to load it into a dataset to train I'm throwing the towel.
Here is how my data currently looks
syslog_data = [
[302014,0,0,63878,30,3,1], [302014,0... |
H: Gradient Descent
Can we use Gradient descent to find Global/local maxima? What types of problem needed to maximize the function? Can we do it with GD? Can anybody explain my question with an example relevant to machine learning?
Thanks in advance.
AI: Theoretically, it is possible to find a global minimum using g... |
H: Which model to chose based on learning curve
I trained my model using different regression techniques, and I'm not sure which model to choose based on the learning curve.
1) Should I choose Lasso, since train and CV converge at the end
2) Should I choose Gradient Boosting since train and CV converge in the middl... |
H: How do I use keras NN to classify data after training?
I have defined, trained and saved my tensor keras NN. Now that that is complete how do I use it output classifications to non training data?
import tensorflow as tf
import numpy as np
from tensorflow.keras import layers
from syslog import syslog_pred
model = t... |
H: LSTM with target outside the timeseries
Say I want to predict the final size of a flower depending on the raining and temperature during 200 days. The flowers are in differents towns, so each flower has its own conditions of rain and temperature.
I have :
500 flowers
For each flower :
- 1 time serie with 20... |
H: Determining which entries in input vector have the greatest effect on output vector
I'm looking for a solution in Python. I'm doing a project where I've built a densely packed neural network which takes a 48-dimensional input vector and the last layer is a 2-dimensional linear output. I'm looking for an algorithm t... |
H: Anomaly Detection System
I need a sanity check. I want to create an anomaly detection system.
The logic which I am planning to use is the following:
Find anomalies in the past using Seasonal Hybrid Extreme Studentized Deviate Test.
Binarise the anomalies (1 the anomalies and 0 the trends).
Run several algorithm... |
H: Interpretation of Keras training and improving accuracy/consistency
I have finished my first NN (pretty exciting) and have started tweaking in hopes of improving results.
Epoch 1/10
30/30 [==============================] - 0s 9ms/step - loss: 69.2138 - acc:
0.2937 - val_loss: 62.3838 - val_acc: 0.6250
Epoch 2/10
3... |
H: How to deal with new features values in my classification model?
Lets say i have a categorical feature having a set of values equal to ['Single','Married','Divorced','Unknown']. Okay, so with the help of the other features, i create my model, i test it, all is fine and i deploy it.
Now , some user using my model as... |
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