ca8bded949
reconstruct
2025-09-25 16:28:20 +09:00
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
13f3c7b053
update server.ts for documentation
2025-09-10 06:39:58 +00:00
edcb4c8d84
update server.ts to fit server_convolution.ts
2025-09-10 06:18:52 +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
80aae6b21c
add linear regression, swagger for documentation functions
2025-09-05 00:17:31 +00:00
faa546d474
modify kmeans, add retailing functions
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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
