{
  "total": 94,
  "topics": [
    {
      "id": 163415,
      "title": "Competition Recap - Congratulations to our Winners!",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 162876,
      "title": "M5 Competition Questionnaire",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 133464,
      "title": "New to Machine Learning or Kaggle?",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 142835,
      "title": "What is the difference between 'm5 accuracy' competition and 'm5 uncertainty' competition",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155421,
      "title": "Quantile Regression",
      "comment_count": 15,
      "views": 0,
      "votes": 10
    },
    {
      "id": 168053,
      "title": "7th Placed Solution - seq2seq LSTM",
      "comment_count": 1,
      "views": 0,
      "votes": 16
    },
    {
      "id": 163559,
      "title": "6th solution - Pure statistical forecast",
      "comment_count": 16,
      "views": 0,
      "votes": 39
    },
    {
      "id": 201477,
      "title": "M5 dataset release ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 163219,
      "title": "11th Place Solution",
      "comment_count": 7,
      "views": 0,
      "votes": 18
    },
    {
      "id": 137098,
      "title": "Pinball loss function ",
      "comment_count": 17,
      "views": 0,
      "votes": 14
    },
    {
      "id": 162578,
      "title": "I'm curious, how can you reach 0  ??",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 166875,
      "title": "3rd Place Solution",
      "comment_count": 2,
      "views": 0,
      "votes": 20
    },
    {
      "id": 166854,
      "title": "4th Place Solution with code",
      "comment_count": 0,
      "views": 0,
      "votes": 19
    },
    {
      "id": 163066,
      "title": "Even my public notebooks were silver and I won nothing",
      "comment_count": 13,
      "views": 0,
      "votes": 12
    },
    {
      "id": 163640,
      "title": "24th position solution - with code",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 163099,
      "title": "36th Position Solution",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 163151,
      "title": "1st student - 12th overall solution",
      "comment_count": 4,
      "views": 0,
      "votes": 19
    },
    {
      "id": 163121,
      "title": "Wow 6th global competition rank in just 3 months!",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 163389,
      "title": "48th place solution - seq2seq",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 164191,
      "title": "18th place (silver medal) solution",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 163048,
      "title": "Random LB :)",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 163117,
      "title": "Should have been 18th place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 162929,
      "title": "Train more or have faith ?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 163374,
      "title": "One idea from Probability Theory",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 163062,
      "title": "Uncertainty better forcasting metric than accuracy? ",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 163340,
      "title": "ARIMA is top 30%",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 163201,
      "title": "Congrats winner ! Kudos to all participants ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 163011,
      "title": "good luck to you all !",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 163049,
      "title": "wft?",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 163054,
      "title": "what append  to the Private Leaderboard ???",
      "comment_count": 2,
      "views": 0,
      "votes": -5
    },
    {
      "id": 162441,
      "title": "How to join to competition?",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 161807,
      "title": "Expectations about Shake Up",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 158718,
      "title": "What is your best neural net so far?",
      "comment_count": 32,
      "views": 0,
      "votes": 12
    },
    {
      "id": 160897,
      "title": "Which distribution should we use Binomial, Gaussian or Poisson ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 161019,
      "title": "Understanding aggregation/hierarchical levels",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 160742,
      "title": "Understanding about Prediction intervals: Quantiles/Quartiles",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 160530,
      "title": "Clarifications needed: questions, doubts about the M5 Participant rules ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 155398,
      "title": "`sales_train_evaluation.csv` now available",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 159508,
      "title": "Datasets across M5 companion competitions",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 154801,
      "title": "Scaled pinball loss calculation",
      "comment_count": 12,
      "views": 0,
      "votes": 11
    },
    {
      "id": 155712,
      "title": "Aggregation Level",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 156276,
      "title": "Share scores of each level (WSPL)",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 152450,
      "title": "Materials On Probabilistic Forecasting",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 158231,
      "title": "Screenshot old leaderboard",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 155111,
      "title": "Theory on sampling methods and estimation algorithms",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 150039,
      "title": "Does the method chosen for accuracy affect uncertainty",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 154571,
      "title": "Where to get the aggregated (12350) time series?",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155747,
      "title": "sales_train_evaluation vs. sales_train_validation",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155473,
      "title": "One confusing thing",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 155085,
      "title": "Aggregated resources on the topic \"uncertainty\"",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 141688,
      "title": "Pyro M5 Starter Kit",
      "comment_count": 10,
      "views": 0,
      "votes": 35
    },
    {
      "id": 143007,
      "title": "Uncertainty decreases on higher aggregation levels",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 142901,
      "title": "quantile coefficients",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 139765,
      "title": "About LGBM Quantile Regression",
      "comment_count": 17,
      "views": 0,
      "votes": 8
    },
    {
      "id": 141045,
      "title": "M5 Uncertainty Track: Huge Improvements in the Leaderboard",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 148949,
      "title": "Proof: Best quantile model has lowest pinball loss",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 142149,
      "title": "Best Model?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 137886,
      "title": "Why is this part not as popular?",
      "comment_count": 11,
      "views": 0,
      "votes": 9
    },
    {
      "id": 137997,
      "title": "M5 GitHub now open",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 136995,
      "title": "Intuitively explaining the target?",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 147068,
      "title": "why  this competetion is less popular than M5 Accuracy ?",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 151979,
      "title": "If to take several algorithms",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 133832,
      "title": "Teams/rules/sharing/risk... how will it work?",
      "comment_count": 10,
      "views": 0,
      "votes": 19
    },
    {
      "id": 133692,
      "title": "Similar time series forecasting challenges",
      "comment_count": 5,
      "views": 0,
      "votes": 14
    },
    {
      "id": 133470,
      "title": "External Data/Pre-Trained Models Disclosure Thread",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 139099,
      "title": "Forecasting and Uncertainty",
      "comment_count": 6,
      "views": 0,
      "votes": 15
    },
    {
      "id": 133535,
      "title": "Winning Solution & Data For M4 Competition",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 133466,
      "title": "Looking for a Team Megathread",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 147347,
      "title": "Prof Makridakis M Applied Forecasting course",
      "comment_count": 1,
      "views": 0,
      "votes": -19
    },
    {
      "id": 133613,
      "title": "Three Approaches to Predicting Uncertainty",
      "comment_count": 16,
      "views": 0,
      "votes": 75
    },
    {
      "id": 146821,
      "title": "Confidence or prediction intervals?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 144807,
      "title": "Bottom-up approach",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 135049,
      "title": "Bandwidth Tips",
      "comment_count": 4,
      "views": 0,
      "votes": 36
    },
    {
      "id": 145353,
      "title": "Confidence Interval As Number of Standard Deviations",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 144281,
      "title": "What is correct submission format? (Total_X is not necessary?)",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 143119,
      "title": "source code M4 Competition",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 139969,
      "title": "Probabilistic Forecast Benchmarks",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 143122,
      "title": "fake public kernel",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 142687,
      "title": "Something is wrong?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 141112,
      "title": "Beating the benchmark R forecast",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 140541,
      "title": "Full time student Looking for a team! ",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 141896,
      "title": "Is an LB score <0.1 coming soon?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 141973,
      "title": "Why include the 0.5 midpoint?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 141297,
      "title": "But how do they know?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 139956,
      "title": "Any hint?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 138642,
      "title": "Aggregations in the Submission File",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 140157,
      "title": "Covid-19 outbreak will effect sales for March 2020 for walmart.",
      "comment_count": 2,
      "views": 0,
      "votes": -9
    },
    {
      "id": 138823,
      "title": "New \"csv\" benchmarks",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 139252,
      "title": "Other datasets",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 137870,
      "title": "Beat the benchmark",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 135045,
      "title": "Submission Are Open!",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 133762,
      "title": "GluonTS: Probabilistic time series forecasting",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 133471,
      "title": "Submissions temporarily disabled",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 133472,
      "title": "Welcome to the M5 Competitions!",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    }
  ],
  "errors": []
}