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Questions tagged [predictive]

77 questions
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2 answers

sklearn - Predict each class's probability

So far I have resourced another post and sklearn documentation So in general I want to produce the following example: X = np.matrix([[1,2],[2,3],[3,4],[4,5]]) y = np.array(['A', 'B', 'B', 'C', 'D']) Xt =…
bmc
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1 answer

Can't get Predictive Keyboard Emoji suggestions to show up in TextEditor/TextField

I have a simple TextEditor in my UI. But whenever the keyboard shows up and I type, I can't get the predictive toolbar on top of the keyboard to suggest emojis. I tried with Instagram, Facebook, Twitter, Message app, Notes app they all work fine! I…
KBog
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Text Prediction functionality for Custom Keyboard

I have developed a Basic Keyboard. Here is how it looks : Now, I want to add the Predictive Text Functionality. I did some research and found some information about Backend part of it. Which showed how the keyboard can learn from user to user. But…
Detained Developer
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1 answer

I'm trying to understand the shap values of a predictive model below. Please help me understand what's the o/p of value & explainer means?

x_train,x_test,y_train,y_test=train_test_split(X,Y,test_size=0.3,random_state=42) rf_model= RandomForestClassifier() rf_model.fit(x_train, y_train) rf_pred = rf_model.predict(x_test) import shap rf_explainer = shap.TreeExplainer(rf_model,…
User1011
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1 answer

Is there a way in R to determine which levels within the variables are most important in the GBM predictive model?

I constructed a predictive model using the GBM package in R. I have good results and I am able to see the feature importance list to see which variables are most important to the model. I am struggling with an editor's question asking for direction…
ClareFG
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Prior predictive distribution

How to generate samples form prior predictive distribution for simple regression models? it is straightforward to generate samples for a binomial distribution with a beta prior, but in regression models, can we simulate both the covariate and…
Negin Faraji
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R 'msm' Package for Markov model in discrete time

I'm trying to build a model on loan delinquency status (having 6 states) and transitions over a time period of one month. I want to use a Markov model to predict transition probabilities and also want to add covariates to the probabilities. But i'm…
ANP
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R copy data in row of a data frame but subtract one column value by 1

I'm trying to create hypothetical data for a predictive analysis. I have a set of averages I plan to apply my predictive model to. However, I want to expand my DF with various values in the Agent_Count column. Is there a way to copy columns 2-4 to…
PeatyBoWeaty
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1 answer

ambiguous or conflict in LL1 grammar for a shell in C

i'm implementing a LL(1) parser for a project of doing a shell implementation. i'm stuck trying to resolve conflicts in my grammar : Parsing mode: LL(1). Grammar: 1. COMMAND_LINE -> COMPLETE_COMMAND PIPED_CMD 2. PIPED_CMD -> PIPE…
Corecaps
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How to measure consistency of members within a group?

Context: We run a collection of book clubs where members meet each week. Members are assigned to a specific club, but are free to join any club on any week. E.g., I may be assigned to the Tuesday club, but I can join the Monday or Thursday club if…
John Colarusso
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How would I use historical data of wind generation to make a thousand continuous distribution curves

I am stumped on a problem. Say you have the last ten years of wind generation data (let's pick August) in the form of every hour of every day. How would I go about creating a set (say of 1,000) wind generation profiles using this historical…
micoconnell
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Azure - prediction over time

I am currently studying machine learning and predictive analysis so thought a good way to start would be using Azure ML Studio. I did the Car Price Tutorial quite successfully however I now want to do something different. I thought about using…
Sam Kirk
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1 answer

Generate High, Medium, Low categories from a skewed distribution

I have been working on a Churn Prediction use case in Python using XGBoost. The data trained on various parameters like Age, Tenure, Last 6 months income etc gives us the prediction if an employee is likely to leave based on its employee ID.…
Gursharan Singh
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2 answers

How can MAPE be calculated if some of the actuals in the dataset are 0 values?

I am new to datascience and trying to understand difference evaluation in forecast vs actuals. Lets say I have actuals: 27.580 25.950 0.000 (Sum = 53.53) And my predicted values using XGboost are: 29.9 25.4 15.0 (Sum = 70.3) Is it…
user12248414
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0 answers

H2OAutoEncoderEstimator Anomaly Prediction REST API

I am creating H2o Autoencoder Anomaly Detection model in h2o python.When calculating anomalies using (test_rec_error=model.anomaly(test.hex,per_feature=false) I am getting one reconstruction error for each record.But When I am trying to…
Sarvendra Singh
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