Intervals

Last Updated: March 14, 2024, 10:00 ISTKolkata East-West Metro: New Timetable Finalized For Howrah Maidan-Esplanade Route. (Representational Image)(Photo: Zee News)The East-West Metro currently runs between Sealdah and Sector V, with ongoing work on the 2.5km stretch between Esplanade and Sealdah.The East-West Metro has finalized its schedule for the Howrah Maidan-Esplanade link, making it easier for commuters to travel across Kolkata.According to the latest update, the first train will depart from both Howrah Maidan and…

Intervals is an exceptional book, for which every deserved superlative seems cliched, in part because the language of illness, death and bereavement often feels too hollowed out by use to accommodate the magnitude of those experiences. Frequently repeated words may gain a carapace that resists our scrutiny: take “dignity”, for example, which Marianne Brooker regards with “mild suspicion” as “too clean-cut and classed”, with “none of the chaos that makes us human”.Brooker’s mother, Jane, had experienced a certain amount of…

You have a timesheet String, a hovering boss, and JavaScript. The Problem: You want to add the hours together and stop your boss hovering. The Solution: Does not require witchcraft. Read All You have a timesheet String, a hovering boss, and JavaScript. The Problem: You want to add the hours together and stop your boss hovering. The Solution: Does not require witchcraft. Read All FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all…

Navigating through uncertainty in data for extracting global statistical insightsIntroductionConfidence intervals are of the most important concepts in statistics. In data science, we often need to calculate statistics for a given data variable. The common problem we encounter is the lack of full data distribution. As a result, statistics are calculated only for a subset of data. The obvious drawback is that the computed statistics of the data subset might differ a lot from the real value, based on all possible values.An…

Apply and dynamically expand an interval using backtestingPhoto by Léonard Cotte on UnsplashDepending on the purpose of generating a forecast, evaluating accurate confidence intervals can be a crucial task. Most classic econometric models, built upon assumptions about distributions of predictions and residuals, have a way to do this built in. When moving to machine learning to do time series, such as with XGBoost or recurrent neural networks, it can be more complicated. A popular technique is conformal intervals — a…

Given an array arr consisting of N ranges of the form , the task is to determine the size of the smallest set that contains at least 2 integers within each interval.Examples:Input: arr = { {1, 3}, {2, 5}, {1, 4} }Output: 2Explanation: Interval contains the numbers 1, 2, 3.Interval contains the numbers 2, 3, 4, 5.Interval contains the numbers 1, 2, 3, 4.Selecting set {2, 3} would be the smallest set covering all intervals.  Input: arr = { {3, 6}, {2, 4}, {0, 2}, {4, 7} }Output: 4Explanation: Possible Sets are, = 5, =…

Using Python and your test set to derive distribution-agnostic intervalsPhoto by Gilly on UnsplashAs important as producing a point estimate for forecasting applications is determining how far off the actual value is likely to be from the prediction. Most forecasts are not 100% accurate so having a good sense of the possibilities when dealing with model implementation becomes crucial. For models with underlying functional forms, such as ARIMA, confidence intervals can be determined using the assumed distribution of the…

#include <bits/stdc++.h>using namespace std;  int maximum_profit(int n, vector<vector<int> >& intervals){              vector<pair<int, pair<int, int> > > events;      for (int i = 0; i < intervals.size(); i++) {        events.push_back(            { intervals,              { intervals, intervals } });    }          priority_queue<pair<int, int>, vector<pair<int, int> >,                   greater<pair<int, int> > >        pq;              …

Accurate Uncertainty Quantification with MAPIE and TSPIRALPhoto by Lucas George Wendt on UnsplashWhen carrying out a time series forecasting task we are used to developing solutions that produce point-wise estimations of future observations. That’s correct and, if properly validated, they may positively impact business results. Is it possible to do better? Can we provide more detailed forecasts by simply adding further information?Enriching our forecasts with prediction intervals is the key. Practically speaking a…

Conformal Prediction in Julia — Part 3Conformal Prediction intervals for different coverage rates. As coverage grows, so does the width of the prediction interval. Image by author.This is the third (and for now final) part of a series of posts that introduce Conformal Prediction in Julia using ConformalPrediction.jl. The first post introduced Conformal Prediction for supervised classification tasks: we learned that conformal classifiers produce set-valued predictions that are guaranteed to include the true label of a new…