From b200ed833d50baf57e5fbae61e4869d058ed01b7 Mon Sep 17 00:00:00 2001 From: EHP Date: Sun, 20 Oct 2019 21:27:13 +0200 Subject: [PATCH] Fixed training app and inference test with new model --- .../bonitoo/inference/CacheInferenceTest.java | 6 +++--- .../src/test/resources/model/encoder.json | 2 +- .../test/resources/model/xgboost-model.bin | Bin 2851036 -> 2911948 bytes src/train_model.py | 13 ++++++++----- 4 files changed, 12 insertions(+), 9 deletions(-) diff --git a/inference/src/test/java/cz/aprar/bonitoo/inference/CacheInferenceTest.java b/inference/src/test/java/cz/aprar/bonitoo/inference/CacheInferenceTest.java index 1e5acc0..d5b3081 100644 --- a/inference/src/test/java/cz/aprar/bonitoo/inference/CacheInferenceTest.java +++ b/inference/src/test/java/cz/aprar/bonitoo/inference/CacheInferenceTest.java @@ -50,7 +50,7 @@ public class CacheInferenceTest { 39766.0, Boolean.TRUE, 39766.0 - ), TTL.D2}, + ), TTL.D3}, {new FlightData( "fly-me-to", "PYTON", @@ -84,7 +84,7 @@ public class CacheInferenceTest { 5971.77978, Boolean.TRUE, 15971.77978 - ), TTL.D2}, + ), TTL.D3}, {new FlightData( "fly-me-to", "HH", @@ -101,7 +101,7 @@ public class CacheInferenceTest { 17723.0, Boolean.TRUE, 17723.0 - ), TTL.D14}, + ), TTL.D2}, {new FlightData( "unknown", "unknown", diff --git a/inference/src/test/resources/model/encoder.json b/inference/src/test/resources/model/encoder.json index a5e6a55..6966cae 100644 --- a/inference/src/test/resources/model/encoder.json +++ b/inference/src/test/resources/model/encoder.json @@ -1 +1 @@ -{"client.channel": {"centrum": 0, "essens": 1, "fly-me-to": 2, "levne": 3, "prima": 4, "prima_sk": 5, "trip": 6}, "type": {"51": 0, "AVIA": 1, "HH": 2, "IL": 3, "PYTON": 4, "WS": 5}, "flight.inboundSegments.departure": {"2019-09-26T13:20:00": 0, "2019-09-26T15:05:00": 1, "2019-09-27T16:20:00": 2, "2019-09-27T17:45:00": 3, "2019-09-27T21:35:00|2019-09-28T04:45:00": 4, "2019-09-28T04:35:00": 5, "2019-09-28T05:00:00|2019-09-28T12:35:00": 6, 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return min(7, 7 + modifier) +def fromisoformat(s): + return dt.datetime.strptime(s, '%Y-%m-%dT%H:%M:%S') + def compute_duration(row): indeparture, outdeparture = row['flight.inboundSegments.departure'], row['flight.outboundSegments.departure'] if pd.isna(indeparture): return 0 else: - indt = dt.datetime.fromisoformat(indeparture.split('|')[0]) - outdt = dt.datetime.fromisoformat(outdeparture.split('|')[0]) + indt = fromisoformat(indeparture.split('|')[0]) + outdt = fromisoformat(outdeparture.split('|')[0]) return (indt - outdt).days def compute_prebooking(row): tstamp, outdeparture = row['timestamp'], row['flight.outboundSegments.departure'] - outdt = dt.datetime.fromisoformat(outdeparture.split('|')[0]) + outdt = fromisoformat(outdeparture.split('|')[0]) return (outdt - tstamp).days def preprocess_data(df):