Commit graph

21 commits

Author SHA1 Message Date
ca8bded949 reconstruct 2025-09-25 16:28:20 +09:00
20002030ad Merge pull request 'timeseries branch commit' (#2) from timeseries into main
Reviewed-on: #2
2025-09-24 02:36:06 +00:00
f0eb8f1577 update API documentation 2025-09-12 02:55:46 +00:00
b1b2dcf18c add timeseries endpoints and update server.ts
/api/series/auto-arima-find: find parameters of SARIMA model automatically
/api/series/manual-forecast: use determined model with parameters to forecast next values
/api/series/identify-correlations: Calculate ACF and PACF for a time series
/api/series/decompose-stl: Applies Seasonal-Trend-Loess (STL) decomposition to separate the series into trend, seasonal, and residual components.
2025-09-12 02:46:52 +00:00
f558be337f Merge pull request 'convolution merge' (#1) from convolution into main
Reviewed-on: #1
2025-09-11 00:44:38 +00:00
13f3c7b053 update server.ts for documentation 2025-09-10 06:39:58 +00:00
0aa6248a9b commit miss, recover server.ts 2025-09-10 06:20:48 +00:00
9d80922f5f server_convolution.ts を削除 2025-09-10 06:19:10 +00:00
edcb4c8d84 update server.ts to fit server_convolution.ts 2025-09-10 06:18:52 +00:00
1b49ae20fe update server.ts to fit server_convolution.ts 2025-09-10 06:17:31 +00:00
e8e0e6de2a server update, add endpoints
server update (server_convolution.ts)
add endpoints of peaks detection, valleys detection, vertices (including peaks and valleys) detection, outliers detection
2025-09-10 04:09:20 +00:00
4cd58e04d4 improvement/modification of convolution and its application 2025-09-09 08:42:37 +00:00
f104287921 server.ts を更新 2025-09-08 07:58:29 +00:00
1095ded5d3 server.ts を削除 2025-09-08 07:58:05 +00:00
1dd4a71527 claude made convolution.ts and updated server.ts 2025-09-08 07:55:21 +00:00
2d4348906c add API documentation 2025-09-05 05:29:45 +00:00
80aae6b21c add linear regression, swagger for documentation functions 2025-09-05 00:17:31 +00:00
faa546d474 modify kmeans, add retailing functions
modify the kmeans to mini-batch k-means "ml/kmeans"
add PI値 "retail/purchase-index", 平均客単価 "retail/average-spend"
2025-09-02 07:04:53 +00:00
93d192a995 add kmeans, moving-average, temporal functions, retail functions
add 
1. "ml/kmeans" (kmeans.ts) 
2. "series/moving-average" (time-helper.ts)
3. "time/week-number", "time/same-day-last-year" (time-helper.ts)
4. 購買率"retail/purchase-rate", リフト値"retail/lift-value", 原価率"retail/cost-ratio" 値入り率"retail/gross-margin" (server.ts)
2025-09-02 04:32:29 +00:00
9d2b0dc043 server.ts を更新 2025-09-02 00:34:10 +00:00
a1ceeb29ef fundamental commit
APIの中にmean, variance, std, unique, count, percentile, median, mode, topn, max, min, percent-change, correlationの計算実現します。
2025-09-01 23:56:24 +00:00