text stringlengths 83 79.5k |
|---|
H: Association between features
Given the anonymized dataset of features below, where:
"code" is a categorical variable.
"x1" and "x2" are continuous variables.
"x3" and "x4" are extracted features. They are the mean values of "x1" and "x2" respectively for each individual code.
code x1 x2 x3 x4
... |
H: Can I apply survival analysis to predict if a user will revisit the website?
I have one business problem in hand which is to predict if a user will revisit the website or not within 6 months. I need to majorly understand what are the factors which make the user return and also need to give business recommendations ... |
H: One hot encoding for multiple label(trainy) in .fit() method?
I have a mobile price classification dataset in which I have 20 features and one target variable called price_range. I need to classify mobile prices as low, medium, high, very high.
I have applied a one-hot encoding to my target variable. After that, I ... |
H: How do I know how to construct the layers of my CNN
I've done a CNN project with Keras and OpenCV, and I've got roughly 65% accuracy. And now I have to present this work in my University, but I'm afraid if the teachers ask me for how do I knew how to construct the right layers to my CNN.
In fact in my development ... |
H: What is difference between "cv2.filter2D" vs Keras "Conv2D" function
When I have to sharpen an image using opencv, I use:
#Create our shapening kernel
kernel_sharpening = np.array([[0,-1,0],
[-1, 5,-1],
[0,-1,0]])# applying the sharpening kernel to th... |
H: How to select 500 most pertinents tags among 10000?
Say we have 100,000 documents tagged with 10,000 different tags (Max 5 tag per document). We wish to limit allowed tags to a list of 500 tags.
How to select 500 tags in order to cover the largest set of documents ?
Firstly, I chose the 500 most frequent tags. If ... |
H: Dataset from sequence of messages
I have a sorted dataset by datestamp which looks like this:
user message
A Hi.
B Hello.
B How are you?
A I am stuck.
B How can I help you?
What I want is to create a pandas df that would look like this:
user message reply
A ... |
H: Calculating the average of gradient decent
I am currently studying the backpropagation process and gradient decent algorithm form the book Neural Networks and Deep Learning written by Michael Nielsen and 3Blue1Brown channel in YouTube.
My question is about calculating the gradient in gradient decent algorithm(the w... |
H: Different results every time I train a reinforcement learning agent
I am training an RL agent for a control problem using PPO algorithm. I am using stable-baselines library for it.
The objective of an agent is to maintain a temperature of 24 deg in a zone and it takes actions every 15 mins.The length of episode is... |
H: problem submitting classification problem
I am trying to make a submission, so I have a test set without labels and I am tryin to test my classification model on it. In particular, I have also to submit this prediction as a csv.
I have the following test set without labels, which is the output of pd.read_json(), s... |
H: How to install Polynote on Windows?
I've been searching around the Internet for a while but I have not been able to find detailed instructions on how to install Polynote (the polyglot notebook
with first-class Scala support) for Windows with mixing multiple languages, Python and Scala.
Github Link for Polynote.
Of... |
H: Do repeated sentences impact Word2Vec?
I'm working with domain-oriented documents in order to obtain synonyms using Word2Vec.
These documents are usually templates, so sentences are repeated a lot.
1k of the unique sentences represent 83% of the text corpus; while 41k of the unique sentences represent the remainin... |
H: Does the predict function in machine learning understand categorical data
I understand that before feature engineering one has to split the dataset into train and test data, so as to avoid bias in the analysis. I also understand that the machine learning model does not understand data apart from numerical data, thu... |
H: Can I download Twitter data via web scraping for research?
I want to do a sentiment analysis using twitter data. Was thinking about hardcoding a cURL script to download data, from a Google Cloud service (I'll run the data on a neural network on the server, to label each tweet), but I have this question:
Am I allow... |
H: error when submitting machine learning project
I am trying to make a submission of a machine learning classification problem. I have a test dataset where to try my model. To submit I have to build a csv file. The prblem is that when I go building this csv file by doing:
sub = pd.DataFrame({'instructions': test['ins... |
H: How can different classification algorithms expressed as neural networks?
I have heard that each of the different classification algorithms can be expressed as neural network architecture. How can the different algorithms like Logistic Regression, SVM(Support Vector Machine), ELM(Extreme Learning Machine) be expres... |
H: High / low resources language : what does it mean?
In NLP, languages are often referred as low resource or high resource.
What do these terms mean?
AI: High resource languages are languages for which many data resources exist, making possible the development of machine-learning based systems for these languages. En... |
H: Why activation functions used in neural networks generally have limited range?
Why do we generally use activation functions with only limited range in neural networks? for e.g.
$sigmoid$ activation function has range $[0, 1]$
$tanh$ activation function has range $[-1, 1]$
Q1) Suppose I use some other non-linear a... |
H: How to interpret ANOVA results?
I am trying to identify what attributes are not relevant in my dataset to remove them before fitting a classifier.
The target is a categorical variable with three different values.
I also have a lot of numerical attributes.
For ANOVA, I used the following code:
grouped_test2=df[['roo... |
H: K fold cross validation reduces accuracy
I am working on a machine learning classifier and when I arrive at the moment of dividing my data into training set and test set Iwant to confron two different approches. In one approch I just split the dataset into training set and test set, while with the other approch I u... |
H: Is there any way to create column based on some previous column in PANDAS dataframe?
Given: I have Pandas Dataframe as shown below
| Employee_ID | Manager_ID |
|:-----------:|:----------:|
| E068 | E067 |
| E071 | E067 |
| E229 | E069 |
| E248 | E144 |
| E226 ... |
H: Given a list of thresholds in descending order will the corresponding FPRs and TPRs lists always be in ascending order?
I've made a series of predictions with a machine learning model. I have a list y of labels and a list p of predicted probabilities such that p[i] is the predicted probability of the entry associat... |
H: How can you make use of Json format data?
I want to obtain data from https://petition.parliament.uk/petitions/250967 but the data format is Json. I am new to data mining and I would like to know if there is a way to convert this data into an excel format. Thanks for your time.
AI: Here is a tutorial by Corey Schafe... |
H: creating a csv file from two csv files
I have two csv files:
sub_compiler.to_csv('sub_compiler.csv')
sub_compiler.head()
and
sub_opt = pd.read_csv('sub_opt.csv')
sub_opt.head()
and what I would like to do is to create a csv file where I have something of the form
compiler, opt
How could I do this? I need to ... |
H: Classifying points exactly on decision boundary
For calculating loss arose by classification we do this:
If $y (w \cdot x + b) > 0$: $\text{no loss}$
If $y (w \cdot x + b) < 0$: $\text{loss} = βy (w \cdot x + b)$
So here what about the points exactly on decision boundary? How do we classify and compute their loss? ... |
H: Doubt in Derivation of Backpropagation
I was going through the derivation of backpropagation algorithm provided in this document (adding just for reference). I have doubt at one specific point in this derivation. The derivation goes as follows:
Notation:
The subscript $k$ denotes the output layer
The subscript $j$... |
H: If my model is overfitting the training dataset, does adding noise to training dataset help regularizing the machine learning model
I would like to know if this is a best practice or not. Can we add noise to the training data to help the model "fit less the training data"; as a result, hoping to generalize better o... |
H: How to optimize input parameters given target and scoring parameters
I'm new to machine learning/optimization, so I apologize in advance if this has been answered before. I don't know which search terms to use.
I have a large dataset where I have a number of input parameters $I_1$, ... $I_n$ ($n$ up to 10), a targe... |
H: Classification - Divide the interval (0 - 1] to lets say 100 classes and use each class to make a calculation
class-1 represents 0.01, class-i represents 0.01*i, class-100 represents 1.00.
Thus, when the classifier predicts the class-y and it should have predicted class-(y+1) there is a small error so we can accep... |
H: Deep Learning for Video Classification
Which Deep Learning architecture is best for classifying short videos of variable length? I would like to classify videos that last from 1 up to 3 seconds.
AI: My suggestion is to use Convolutional and Recurrent layers in the same Neural Network.
You'd have to capture a given ... |
H: Feature Importance based on a Logistic Regression Model
I was training a Logistic Regression model over a fairly large dataset with ~1000 columns.
I did apply scaling of features using MinMaxScaler.
I was wondering how to interpret the coefficients generated by the model and find something like feature importance ... |
H: How to handle weekdays in a NN?
I want to test if using additional information of weekdays would improve my NN. Therefore, I just converted the weekdays numerically such as
Monday -> 0
Tuesday -> 1
...
Sunday -> 6
but my NN fails totally with that alongside to other 16 variables. Without it's ok. Now I wonder if I... |
H: Maybe wrong values for precision and recall
I'm trying to do some data mining with RapidMiner studio.
I've applied the K-nearest neighbor algorithm with different values of K.
As I expected, accuracy increase and after K=5, it decrease. But I cannot understand why value of recall for Basic increase (as I expected... |
H: Classifying objects in video without machine learning
Recently, Nick Bourdakos posted a series of videos demonstrating bottle detection in a video stream using Tensorflow.js. Specifically, he is using SSD-mobilenet.
The problem could be summarised as follows:
Three different drinks bottles appear together or indiv... |
H: Time Series Classification for 1 hour blocks
I am doing some analysis on time series.
The time series would consist of 3 channels and contain 5 minute interval data.
What I want is to be able to give it a 1 hour block of 5 minute interval data and it will categorise it based on the entire one hour and picking up s... |
H: What is the advantage of positional encoding over one hot encoding in a transformer model?
I'm trying to read and understand the paper Attention is all you need and in it, they used positional encoding with sin for even indices and cos for odd indices.
In the paper (Section 3.5), they mentioned
Since our model c... |
H: Activation Functions in Neural network
I have a set of questions related to the usage of various activation functions used in neural networks. I would highly appreciate if someone could give explanatory answers.
Why is ReLU is used only on hidden layers specifically?
Why is Sigmoid not used in multi-class classifi... |
H: Collaborating on Jupyter Notebooks
I have prepared Jupyter Notebook with some findings and I shared it with other team members through GitHub to get their feedback in a written form. It used to work like this when working together on a piece of code but does not work for Jupyter Notebook. In GitHub that would mean ... |
H: Can somebody explain me this method? CNN Keras - starter
def ReadImages(Path):
LabelList = list()
ImageCV = list()
classes = ["nonPdr", "pdr"]
FolderList = [f for f in os.listdir(Path) if not f.startswith('.')]
for File in FolderList:
for index, Image in enumerate(os.listdir(os.path.jo... |
H: XGBClassifier: make the output of predict_proba ascending regarding a specific feature
I'm trying to build a classifier using Xgboost on some high dimensional data, the problem I'm having is that I have the prior knowledge that the output probabilities should be ascending regarding a feature(say x), but I don't kno... |
H: Free API for historical weather US data?
I am trying to retrieve a free R-Python API that provides historical weather data in US.
In fact wunderground API is no longer available.
Any suggestion?
AI: Maybe you can use NCEI Data
And use "httr" package to access the API in r. |
H: What method is recommended after outliers removal?
I have a data of mice reaction times. In every session, there are some trials in which the mouse "decides of a break" and responds after a long time to these specific trials.
I was thinking of applying outlier removal on my data. and the data does look better (I us... |
H: Why are my Decision Tree Leafs not pure?
I'm making a using DecisionTreeClassifier from SKlearn (v0.21.3) with its default settings, using Python. I do not want regularize it in any way, I want it to overfit as much as possible.
When drawing the tree out I saw that some of the leafs were not pure. Is this normal? ... |
H: sklearn.feature_selection vs xgboost feature_importances?
sklearn.feature_selection vs xgboost feature_importances
Can somebody explain in-detailed differences between sklearn.feature_selection and xgboost feature_importances? And how the algorithms work under the hood?
Which module gives the best results?
AI: They... |
H: Is it possible to know the output vectors of MLP Classifier of scikit learn?
I'm a beginner with scikiti-learn library.
I have an ANN with 3 input, 2 hidden layers and 3 output.
mlp = MLPClassifier(hidden_layer_sizes= hidden_layers,max_iter=iterations, activation=activation_fun)
I read on the documentation that th... |
H: How to draw neural network diagrams with this particular style?
I would like to draw a neural network architecture with the follow style. Do you know which tool can be used to do this? The paper is Operation-aware Neural Networks for User Response Prediction.
AI: I asked me something similar as well as I thought th... |
H: GridSearchCV vs RandomSearchCV and How it works?
GridSearchCV vs RandomSearchCV
Can somebody explain in-detailed differences between GridSearchCV and RandomSearchCV?
And how the algorithms work under the hood?
As per my understanding from the documentation:
RandomSearchCV
This uses a random set of hyperparameters.... |
H: Dealing with categorical variables
I have a panel data set. My dependent variable is total costs, and almost all of my independent variables are categorical variables. For instance, age is "old","new". Now i have some questions.
Should i use a dummy for all of them? For example, only type variable has 33 values it... |
H: How to combine GridSearchCV with Early Stopping?
I'm a beginner in machine learning and want to train a CNN (for image recognition) with optimized hyperparameter like dropout rate, learning rate and number of epochs.
The optimal hyperparameter I try to find via GridSearchCV from Scikit-learn.
I have often read that... |
H: What are the ways to identify a good attribute test while constructing a decision tree?
I'm working through a decision tree by hand to learn it. From my research, I have found the following three ways of determining which variables to split on:
Minimum remaining values - The variable with the fewest legal values i... |
H: How much of a disadvantage is a small sample size?
I am examining a petition involving all UK constituencies. In this dataset 2 of the 632 constituencies have not participated in the petition - in terms of data quality how does this affect my examination?
I am examing which parts of the UK tend to vote for left/rig... |
H: What is the output polytree after aplying the Ramex algorithm to this graph?
I've been trying to understand the way this algorithm works, but I can't get a consistent result.
It has two phases: the first one coverts a table of events into a graph, and the second where the graph is tranformed into a polytree.
The qu... |
H: How would I model hysteresis?
I have the task of modeling the current to torque mapping for a given motor. I have an experimental set up where I can retrieve current, torque pairs.
Now my initial approach was to model the relationship with a regression curve, but I realized that the motor certainly shows some kind ... |
H: Clustering categorical variable values based on continuous target values
Let's say I have $n$ data points with just one categorical feature $x$ and a continuous target variable $y$. I want to divide the possible values of $x$ into subsets such that the value of $y$ doesn't vary much within a subset.
As an example,... |
H: Random Forest VS LightGBM
Random Forest VS LightGBM
Can somebody explain in-detailed differences between Random Forest and LightGBM? And how the algorithms work under the hood?
As per my understanding from the documentation:
LightGBM and RF differ in the way the trees are built: the order and the way the results ar... |
H: Cosine similarity vs The Levenshtein distance
I wanted to know what is the difference between them and in what situations they work best?
As per my understanding:
Cosine similarity is a measure of similarity between two non-zero vectors of an inner product space that measures the cosine of the angle between them. T... |
H: to include first single word in bigram or not?
in a text such as
"The deal with Canada's Barrick Gold finalised in Toronto over the
weekend"
When I try to break it into bigram model, I get this
"The deal"
"deal with"
"with Canada's"
"Canada's Barrick"
"Barrick Gold"
"Gold finalised"
"finalised in"
"in Toronto... |
H: Value error in an embedding layer
I am new to deep learning and I am trying to build a book recommender system using embedding layers. I use one layer for the book and one for the user.
I am having trouble with fitting the model. More specifically, when I try to feed the first layer with the books' ISBN list I get ... |
H: AlphaGo Zero loss function
As far as I understood from the AlphaGo Zero system:
During the self-play part, the MCTS algorithm stores a tuple ($s$, $\pi$, $z$) where $s$ is the state, $\pi$ is the distribution probability over the actions in the state and $z$ is an integer representing the winner of the game that s... |
H: Help making a custom categorical loss function in Keras
I am a bit new to machine learning, and I'm trying to get the basics working towards a bigger project using a very simple encoder-decoder model. It looks like this:
embedding_dim = 300
lstm_layer_size_1 = 300
lstm_layer_size_2 = 300
model = Sequential()
model... |
H: Ordered and unordered categorical features β terminology
In the famous book "The Elements of Statistical Learning" by Hastie et al., the authors denoted unordered categorical variables as qualitative variables / nominal variables / factors.
I wonder, do other statisticians strictly follow this or some authors can... |
H: Improving the performace of the Naive Bayes classifier by decorrelating the data
I was wondering if it is possible to improve the performance of the NaΓ―ve Bayes classifier by decorrelating the data. The NaΓ―ve Bayes assumes conditional independence of the features given some class $P(a_1, a_2 | c_1) = P(a_1 | c_1)P(... |
H: Is machine learning the right tool for this job?
I would like to create a troubleshooting wizard.
The user will go through the wizard and choose different options, what options they choose will determine what is displayed next in the wizard.
Eventually the user will solve their problem (or not), at the end they w... |
H: Optimization of pandas row iteration and summation
i'm wondering if anyone can provide some input on improving the speed and calculations of a pandas result.
What i am trying to obtain is a summation of IDs in one table (player table) based on each row of a second table (UUID). Functionally each row needs to sum t... |
H: Keras - error when adding layers to loaded model
I want to use ResNet50 as a feature extractor. For this purpose, I have loaded the pre-trained model, deleted a few layers and added my layers to the model. For adding my layers, I have used the Sequential API. The code is the following:
resnet_model = ResNet50(weigh... |
H: Build a model to classify given string/text input
I need to build ML/NN model to classify/predict a given string pattern. Sample training data looks as shown in the image. Input will be the string in the column "Id Number", i need to tell to which class it belongs to in column "Id Type".
How do i move forward in b... |
H: Not able to connect to GPU on Google Colab
I'm trying to use tensorflow with a GPU on Google Colab.
I followed the steps listed at https://www.tensorflow.org/install/gpu
I confirmed that gpu is visible and CUDA is installed with the commands -
!nvcc --version
!nvidia-smi
This works as expected giving -
nvcc: NV... |
H: How to handle multi-label feature for binary classification problem?
I have dataset like :
profile category target
0 1 [5, 10] 1
1 2 [1] 0
2 3 [23, 5000] 1
3 4 [700, 4500] 0
How to handle category feature, this table may have others addit... |
H: How to handle addresses of the restaurants to feed the data-set in the ML model?
I have data from different restaurants which have also address of the restaurants now I want to predict the food delivery timing based on the given data, now the restaurant address is one of the crucial data which I need to predict the... |
H: How could I improve my FB Prophet forecast?
I've got 1325 days of revenue data and when plotting the components it makes 100% sense from a domain expert point of view, so the model is capturing the variations quite well (or it seems it does...). I've added the country holidays using m.add_country_holidays(country_n... |
H: Question mark on Correlation Matrix with RapidMiner
I'm using RapidMiner to evaluate correlation between attribute in my dataset. The problem is that a lot of values appear with '?'.
Someone can help me?
This is a sample of data
AI: All your data is non-numeric, so there is no straightforward method to compute a c... |
H: Am I overfitting my random forest model (more information in description)?
First off, sorry if this a novice question! Relatively new to all this stuff. Posted this in Stack Overflow and someone sent me here! Hope it's the right place.
Anyway, I'm working with 22 datasets that each have 180 observations of "Oddball... |
H: To calculate my confusion matrix with recall and precision, my test set need to be equal(balanced)?
In my CNN, I have 200 'negative' images and 50 'positive' images in my test set and I want to make a confusion matrix. My doubt is if I have to equalize the samples in the dataset because if I keep this 200 - 50 my p... |
H: Adjust predicted probability after smote
i have an imbalance data set and I used smote to oversample the minority class and undersample the majority class. now, I want to check the test AUC using predict_proba of the model.
I have two questions: 1. Do I have to correct the probability if I am comparing AUCs? 2. Ho... |
H: Should features be correlated or uncorrelated for features-selection with the help of multiple regression analysis?
I have seen researchers using Pearson correlation coefficient to find out the relevant features - to keep the features that have a high correlation value with the target. The implication is that the ... |
H: Is it possible to generate syllogisms using an NLP algorithm?
I want to build a tool that generates sensible syllogisms. An example of a syllogisms is: all A are B. all C are A. all C are B). I want the triplet (A, B, C) to be semantically related to each other in the way described by the syllogisms. That is, I wou... |
H: Calculating possible number of configuration
I am wondering how did they get the $19200$ possible configurations? Like, $5^6 = 15625$, where $6$ is the number of hyper-parameters:
AI: The total number is:
$$5 \times 5 \times 6 \times 4 \times 4 \times 8$$
which is equal to $19200$. Here, we just count the number o... |
H: Create a new column in Pandas Dataframe based on the 'NaN' values in another column
What is the most efficient way to create a new column based off of nan values in a separate column (considering the dataframe is very large)
1 2 3
4 5 NaN
7 8 9
3 2 NaN
5 6 NaN
Should give
1 2 3 0
4 5 NaN 1
7 8 9 0
3 2 NaN ... |
H: Face dataset organized by folder
I'm looking for a quite little/medium dataset (from 50MB to 500MB) that contains photos of famous people organized by folder.
The tree structure have to bee something like this:
βββ bfegan
βββ ...
βββ chris
βββ ...
βββ dhawley
βββ ...
βββ graeme
βββ...
βββ he... |
H: ROC curve interpretation
I trained a CNN model and a combined CNN-SVM model for classification. I wanted to compare their performance using ROC curve but I was confused which model is better. How to interpret the given ROC curves ?
AI: If you hear from the area under the curve (AUC), you can find that the first cla... |
H: Why GA convergence curves continue as two parallel lines?
I'm working on a optimization problem and using GA algorithm (in MATLAB, ga function).
As you know MATLAB plots GA result with two curves, one for the best values and other to show the mean values and when this two curves touch each others it means algorithm... |
H: how to use standardization / standardscaler() for train and test?
At the moment I perform the following:
estimators = []
estimators.append(('standardize', StandardScaler()))
prepare_data = Pipeline(estimators)
n_splits = 5
tscv = TimeSeriesSplit(n_splits = n_splits)
for train_index, val_index in tscv.split(df_tra... |
H: Fine Tuning the Neural Nets
I have recently read about Fine Tuning, and what I want to know is, when we are fine-tuning our model is it necessary to Freeze the model and train only the top part of the model and then unfreeze some layers and again train the model or one can directly begin by unfreezing some layers? ... |
H: K-Means initialization
K-Means initializes the centroids randomly, but there are other methods to initialize. In this paper, http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf, they propose randomly choosing a data point initially then choose the other centroids based on the distance from the initial centroid.
My q... |
H: What is the approx minimum size of dataset required to build 90% correct model?
I am working with a financial dataset size which is around 3000. I have attempted the supervised-learning regression techniques and not able to go beyond 70% accuracy.
Features: 10
Data size:3700
Models attempted: Decision Trees, Rand... |
H: Classification accuracy of a Random Multi-label Classifier
What is the exact accuracy of a random classifier which has n labels (say 1000) where k labels (say 50) are true?
Can I say the accuracy of a random classifier has an upper bound of k/n?
-Edit-
I am interested in a numerical figure or an upper bound for a ... |
H: Need explanation of a matrix multiplication
I'm reading the Deep Learning book by MIT.
On the page 172, there's a part like this:
$$
f^{(1)}(x)=h=W^Tx \tag{1}
$$
$$
f^{(2)}(h)=h^Tw \tag{2}
$$
Substitute (1) into (2), they got:
$$
f(x)=w^TW^Tx
$$
Since I'm not so familiar with linear algebra stuff, I infer that som... |
H: How to scale a variable when not knowing the maximum
I have a dataset with different features where some of them are not categorical, so they need to be scaled or normalized (especially the target).
However, normalizing between 0-1 for instance means that the variable maximum value will be equal to one, and the me... |
H: SHAP value can explain right?
I face a problem with using SHAP value to interpret the Tree-based model.
(https://github.com/slundberg/shapsd)
First, I have input around 30 features and I have 2 features that have high positive correlation between them.
After that, I train the XGBoost model(python) and look at SHAP ... |
H: How does $\chi^2$ feature selection work?
I can't find the information how $\chi^2$ are used to select numerical features for a model.
Fro instance, If I employ the sklearn library:
from sklearn.datasets import load_iris
from sklearn.feature_selection import chi2
iris = load_iris()
X, y = iris.data, iris.target #... |
H: How to select multiple columns in a RDD with Spark (pySpark)?
Lets say I have a RDD that has comma delimited data. Each comma delimited value represents the amount of hours slept in the day of a week.
So for i.e. [8,7,6,7,8,8,5]
How can I manipulate the RDD so it only has Monday, Wednesday, Friday values? There are... |
H: Apply LSTM to each matrix element with Keras
I'm trying to apply a LSTM/GRU to each entry of a matrix $X$
note: Each matrix element is a time-series, so shape of X is (batch_size, rows, cols, time_steps, dims)
$
y_{i,j}=
\begin{cases}
0, & \text{if}\ x_{i,j}\small[0\small] = 0 \\
LSTM(x_{i,j}), & \... |
H: What is Pruning & Truncation in Decision Trees?
Pruning & Truncation
As per my understanding
Truncation: Stop the tree while it is still growing so that it may not end up with leaves containing very low data points. One way to do this is to set a minimum number of training inputs to use on each leaf.
Pruning is a t... |
H: Classification of images of different size
I am doing image classification using Convolutional neural networks, but I have a problem, because the images I want to classify are all of different sizes. My code is the following:
import numpy as np
import tensorflow as tf
import keras
from keras.preprocessing.image imp... |
H: Lime Explainer: ValueError: training data did not have the following fields
I'm attempting to gather ID level drivers from my XGBoost classification model using LIME and I'm running into some odd errors. I'm using this link as a reference.
Here is the overall code that I'm using:
explainer = lime.lime_tabular.LimeT... |
H: Classification accuracy based on top 3 most likely classifications
My goal is to recommend jobs to job seekers based on their skill set.
Currently I'm using an SVM for this, which is outputting one prediction, e.g. "software engineer at Microsoft". However, consider this: how significantly different are the skill s... |
H: Given n ordered sets, each containing 6 numbers, generate the next set in the sequence
I am facing the following problem in machine learning. Given n ordered sets, each containing 6 numbers, generate the next set in the sequence. The numbers in a set are not random.
For instance, it could be that these numbers are ... |
H: increase performances in neural networks
I am starting being interested in neural networks, and I am writing some code about it. But, differently from methods like support vector machines, random forests,..etc., to me it seems more like a black box which I can't control.
So my question is:
What are methods to incr... |
H: How regularization helps to get rid of outliers?
I have heard regularization helps to get rid of outliers, how so?
'My intuition is, regularization shrinks parameter or even make it zero, and hence large value will have less effect on overall result'.
Could you shed some more light on it?
AI: You don't get rid of t... |
H: NoSQL Comparison - Is this part of my Job?
For the more experienced Data Scientists here, i was asked to perform a case study on how Redis / HBase etc performs, compared to each other.How does data science play a role into this? Note that there will be no actual data involved.
AI: I am not very familiar with Redis,... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.