new

cachedir/joblib/run/estimator/07007f7dca9bdfd648d3542e509afb89/metadata.json

@@ -1 +1 @@
-{"duration": 0.445972204208374, "input_args": {"n_estimators": "74.90081706613316", "eta": "0.24281758667148645", "max_depth": "6.444267910404542", "subsample": "0.823173811905026", "colsample_bytree": "0.9458014336081975"}}
+{"duration": 2.257077932357788, "input_args": {"n_estimators": "74.90081706613316", "eta": "0.24281758667148645", "max_depth": "6.444267910404542", "subsample": "0.823173811905026", "colsample_bytree": "0.9458014336081975"}}

cachedir/joblib/run/estimator/24436eb7944e5f756192f4144586be52/metadata.json

@@ -0,0 +1 @@
+{"duration": 4.548745393753052, "input_args": {"n_estimators": "75.86346086389126", "eta": "0.06372449073826002", "max_depth": "9.472648321000811", "subsample": "0.8945798865585665", "colsample_bytree": "0.9196463484970115"}}

cachedir/joblib/run/estimator/26eaea169055571f02d589ab35824eec/metadata.json

@@ -0,0 +1 @@
+{"duration": 5.023589134216309, "input_args": {"n_estimators": "91.10980257621819", "eta": "0.1812911976270734", "max_depth": "10.851008286060418", "subsample": "0.9410392159460682", "colsample_bytree": "0.9881736755727641"}}

cachedir/joblib/run/estimator/2d3aa4b9a7a5e05fecd214f13f35c2f6/metadata.json

@@ -1 +1 @@
-{"duration": 0.24505186080932617, "input_args": {"n_estimators": "13.819321337554923", "eta": "0.07212312551297988", "max_depth": "7.175897174514871", "subsample": "0.8650660661526529", "colsample_bytree": "0.9843748470046234"}}
+{"duration": 1.2200052738189697, "input_args": {"n_estimators": "13.819321337554923", "eta": "0.07212312551297988", "max_depth": "7.175897174514871", "subsample": "0.8650660661526529", "colsample_bytree": "0.9843748470046234"}}

cachedir/joblib/run/estimator/49b09e262e319b7bfb24ff4a0ac5c3f5/metadata.json

@@ -1 +0,0 @@
-{"duration": 0.840461015701294, "input_args": {"n_estimators": "89.20416101025876", "eta": "0.298254354073293", "max_depth": "11.531170050483237", "subsample": "0.8631047353903125", "colsample_bytree": "0.8937180539904231"}}

cachedir/joblib/run/estimator/501c8577828b16d7edbbaa0c4c50298a/metadata.json

@@ -1 +1 @@
-{"duration": 0.9199130535125732, "input_args": {"n_estimators": "121.73840441842214", "eta": "0.28767857660247903", "max_depth": "10.39196365086843", "subsample": "0.8312037280884873", "colsample_bytree": "0.8749080237694725"}}
+{"duration": 2.9139039516448975, "input_args": {"n_estimators": "121.73840441842214", "eta": "0.28767857660247903", "max_depth": "10.39196365086843", "subsample": "0.8312037280884873", "colsample_bytree": "0.8749080237694725"}}

cachedir/joblib/run/estimator/53c192c9764e2921d7ee2543dca13d78/metadata.json

@@ -1 +1 @@
-{"duration": 2.4921109676361084, "input_args": {"n_estimators": "182.3174784053625", "eta": "0.17379422752781754", "max_depth": "6.20633112669131", "subsample": "0.8517559963200034", "colsample_bytree": "0.8244076469689559"}}
+{"duration": 5.867391109466553, "input_args": {"n_estimators": "182.3174784053625", "eta": "0.17379422752781754", "max_depth": "6.20633112669131", "subsample": "0.8517559963200034", "colsample_bytree": "0.8244076469689559"}}

cachedir/joblib/run/estimator/6090fba618ef6aae9c62af2152c10831/metadata.json

@@ -1 +1 @@
-{"duration": 0.7512750625610352, "input_args": {"n_estimators": "114.44905352605177", "eta": "0.22831119680574874", "max_depth": "10.564710291701385", "subsample": "0.9541934359909122", "colsample_bytree": "0.8239188491876603"}}
+{"duration": 4.672852993011475, "input_args": {"n_estimators": "114.44905352605177", "eta": "0.22831119680574874", "max_depth": "10.564710291701385", "subsample": "0.9541934359909122", "colsample_bytree": "0.8239188491876603"}}

cachedir/joblib/run/estimator/61afb17f88fffa151324e4d016d0ccee/metadata.json

@@ -0,0 +1 @@
+{"duration": 4.373793125152588, "input_args": {"n_estimators": "72.11194788979516", "eta": "0.06999909260172242", "max_depth": "11.660767639606618", "subsample": "0.8937069405852791", "colsample_bytree": "0.9970550492754673"}}

cachedir/joblib/run/estimator/61cc762b5a9bd4586cee079d6c1a7776/metadata.json

@@ -1 +0,0 @@
-{"duration": 1.6831128597259521, "input_args": {"n_estimators": "185.43130710367382", "eta": "0.07633917613590695", "max_depth": "6.883647273396065", "subsample": "0.9541408808296614", "colsample_bytree": "0.9812765080381792"}}

cachedir/joblib/run/estimator/65ad99c302a3e6128ffd21fb73ff7858/metadata.json

@@ -1 +1 @@
-{"duration": 0.8074049949645996, "input_args": {"n_estimators": "46.40612658226385", "eta": "0.2924774630404986", "max_depth": "10.99465584480253", "subsample": "0.8363649934414201", "colsample_bytree": "0.8041168988591605"}}
+{"duration": 2.9594738483428955, "input_args": {"n_estimators": "46.40612658226385", "eta": "0.2924774630404986", "max_depth": "10.99465584480253", "subsample": "0.8363649934414201", "colsample_bytree": "0.8041168988591605"}}

cachedir/joblib/run/estimator/68528debde2113dac0b069dc3ab767b4/metadata.json

@@ -1 +0,0 @@
-{"duration": 0.9398980140686035, "input_args": {"n_estimators": "57.427799444575626", "eta": "0.0939475479410324", "max_depth": "7.900373700039049", "subsample": "0.9451773493842789", "colsample_bytree": "0.9615101551425086"}}

cachedir/joblib/run/estimator/7b6a78563e5e8041baad07d84d667dd1/metadata.json

@@ -1 +0,0 @@
-{"duration": 1.448106050491333, "input_args": {"n_estimators": "167.24441970961547", "eta": "0.22277938316283252", "max_depth": "7.548261010130628", "subsample": "0.9219628477814731", "colsample_bytree": "0.8774212362335956"}}

cachedir/joblib/run/estimator/7bb9a6ed4f9c4665154bf105b6bc49d2/metadata.json

@@ -1 +0,0 @@
-{"duration": 0.3969099521636963, "input_args": {"n_estimators": "25.38275875171714", "eta": "0.06194579800544693", "max_depth": "6.214846370130013", "subsample": "0.846639951990341", "colsample_bytree": "0.9168007862570122"}}

cachedir/joblib/run/estimator/878e230e8d668ff8bf9ae658973cf276/metadata.json

@@ -1 +1 @@
-{"duration": 1.7156198024749756, "input_args": {"n_estimators": "89.22927863521258", "eta": "0.12606056073988442", "max_depth": "9.148538589793427", "subsample": "0.8582458280396084", "colsample_bytree": "0.8366809019706868"}}
+{"duration": 5.724630117416382, "input_args": {"n_estimators": "89.22927863521258", "eta": "0.12606056073988442", "max_depth": "9.148538589793427", "subsample": "0.8582458280396084", "colsample_bytree": "0.8366809019706868"}}

cachedir/joblib/run/estimator/8dbc0d7097e6aca21bb30a8dc860f045/metadata.json

@@ -1 +1 @@
-{"duration": 0.6619899272918701, "input_args": {"n_estimators": "74.56689870524991", "eta": "0.11783725794347398", "max_depth": "10.972425054911575", "subsample": "0.8561869019374762", "colsample_bytree": "0.8777354579378964"}}
+{"duration": 5.0681540966033936, "input_args": {"n_estimators": "74.56689870524991", "eta": "0.11783725794347398", "max_depth": "10.972425054911575", "subsample": "0.8561869019374762", "colsample_bytree": "0.8777354579378964"}}

cachedir/joblib/run/estimator/96ba12b58138896ed090735e777c34ba/metadata.json

@@ -1 +1 @@
-{"duration": 0.19493722915649414, "input_args": {"n_estimators": "17.393878305774606", "eta": "0.20582453170688947", "max_depth": "7.985388149115895", "subsample": "0.8621964643431325", "colsample_bytree": "0.9726206851751187"}}
+{"duration": 1.1842029094696045, "input_args": {"n_estimators": "17.393878305774606", "eta": "0.20582453170688947", "max_depth": "7.985388149115895", "subsample": "0.8621964643431325", "colsample_bytree": "0.9726206851751187"}}

cachedir/joblib/run/estimator/9d6d5c57facf6580e27ecc5ac3a9da74/metadata.json

@@ -1 +1 @@
-{"duration": 1.4896700382232666, "input_args": {"n_estimators": "179.4913333333915", "eta": "0.24378320584027863", "max_depth": "11.636993649385134", "subsample": "0.919579995762217", "colsample_bytree": "0.9939169255529117"}}
+{"duration": 7.151544809341431, "input_args": {"n_estimators": "179.4913333333915", "eta": "0.24378320584027863", "max_depth": "11.636993649385134", "subsample": "0.919579995762217", "colsample_bytree": "0.9939169255529117"}}

cachedir/joblib/run/estimator/b8a9b059b71e375385bcb3affc80aaae/metadata.json

@@ -1 +1 @@
-{"duration": 2.3435099124908447, "input_args": {"n_estimators": "138.4254401698706", "eta": "0.1261534422933427", "max_depth": "6.586032684038303", "subsample": "0.8880304987479203", "colsample_bytree": "0.9616794696232922"}}
+{"duration": 5.373305797576904, "input_args": {"n_estimators": "138.4254401698706", "eta": "0.1261534422933427", "max_depth": "6.586032684038303", "subsample": "0.8880304987479203", "colsample_bytree": "0.9616794696232922"}}

cachedir/joblib/run/estimator/bd6da16bc4f265fe52537fa5b2e84845/metadata.json

@@ -1 +1 @@
-{"duration": 2.5639889240264893, "input_args": {"n_estimators": "120.52084092809828", "eta": "0.09991844553958994", "max_depth": "9.08540663048167", "subsample": "0.8092900825439996", "colsample_bytree": "0.9570351922786027"}}
+{"duration": 6.523670673370361, "input_args": {"n_estimators": "120.52084092809828", "eta": "0.09991844553958994", "max_depth": "9.08540663048167", "subsample": "0.8092900825439996", "colsample_bytree": "0.9570351922786027"}}

cachedir/joblib/run/estimator/c5ae132fa788a41769fd65f6ea6fc878/metadata.json

@@ -1 +1 @@
-{"duration": 1.0486700534820557, "input_args": {"n_estimators": "164.01497854869265", "eta": "0.0996789203835431", "max_depth": "6.033132702741614", "subsample": "0.9413714687695234", "colsample_bytree": "0.9544489538593315"}}
+{"duration": 6.323023796081543, "input_args": {"n_estimators": "164.01497854869265", "eta": "0.0996789203835431", "max_depth": "6.033132702741614", "subsample": "0.9413714687695234", "colsample_bytree": "0.9544489538593315"}}

cachedir/joblib/run/estimator/c78d75f852ea2ac732cd2c4d8cf5e3e3/metadata.json

@@ -1 +1 @@
-{"duration": 0.867225170135498, "input_args": {"n_estimators": "178.00648480238368", "eta": "0.232401544584516", "max_depth": "9.825344828131279", "subsample": "0.8944429850323898", "colsample_bytree": "0.8650366644053494"}}
+{"duration": 6.966970920562744, "input_args": {"n_estimators": "178.00648480238368", "eta": "0.232401544584516", "max_depth": "9.825344828131279", "subsample": "0.8944429850323898", "colsample_bytree": "0.8650366644053494"}}

cachedir/joblib/run/estimator/d7a4fed50ef206c00c730c9b2e013bcb/metadata.json

@@ -1 +1 @@
-{"duration": 0.880241870880127, "input_args": {"n_estimators": "111.60850447193953", "eta": "0.12792776902235276", "max_depth": "9.120408127066865", "subsample": "0.8369708911051055", "colsample_bytree": "0.9325044568707964"}}
+{"duration": 6.022539138793945, "input_args": {"n_estimators": "111.60850447193953", "eta": "0.12792776902235276", "max_depth": "9.120408127066865", "subsample": "0.8369708911051055", "colsample_bytree": "0.9325044568707964"}}

cachedir/joblib/run/estimator/e5b137b59fcad7738516be11e783d76d/metadata.json

@@ -1 +1 @@
-{"duration": 3.4960217475891113, "input_args": {"n_estimators": "190.03267976439997", "eta": "0.09263103092182289", "max_depth": "6.390309557911677", "subsample": "0.9931264066149119", "colsample_bytree": "0.9215089703802877"}}
+{"duration": 6.893549919128418, "input_args": {"n_estimators": "190.03267976439997", "eta": "0.09263103092182289", "max_depth": "6.390309557911677", "subsample": "0.9931264066149119", "colsample_bytree": "0.9215089703802877"}}

cachedir/joblib/run/estimator/e907a73e538f95a05e43901c7239d26f/metadata.json

@@ -1 +1 @@
-{"duration": 1.6984941959381104, "input_args": {"n_estimators": "76.44055944226989", "eta": "0.08487346516301046", "max_depth": "7.752867891211309", "subsample": "0.8912139968434072", "colsample_bytree": "0.9223705789444759"}}
+{"duration": 5.446266174316406, "input_args": {"n_estimators": "76.44055944226989", "eta": "0.08487346516301046", "max_depth": "7.752867891211309", "subsample": "0.8912139968434072", "colsample_bytree": "0.9223705789444759"}}

cachedir/joblib/run/estimator/ecc4f427737ec1d8fd0403c51e99091c/metadata.json

@@ -1 +1 @@
-{"duration": 0.17142605781555176, "input_args": {"n_estimators": "9.956729715098561", "eta": "0.18068320734549853", "max_depth": "8.565246110151298", "subsample": "0.821578285398661", "colsample_bytree": "0.8987591192728782"}}
+{"duration": 1.0930531024932861, "input_args": {"n_estimators": "9.956729715098561", "eta": "0.18068320734549853", "max_depth": "8.565246110151298", "subsample": "0.821578285398661", "colsample_bytree": "0.8987591192728782"}}

cachedir/joblib/run/estimator/ef6bb9df399c46bfde63ecf0478c6582/metadata.json

@@ -0,0 +1 @@
+{"duration": 5.015473365783691, "input_args": {"n_estimators": "73.50613754427229", "eta": "0.05", "max_depth": "9.336611726304309", "subsample": "1.0", "colsample_bytree": "0.8894830486960281"}}

cachedir/joblib/run/estimator/f1d92e5f2a3bd05ecb2416c00ab93942/metadata.json

@@ -1 +1 @@
-{"duration": 0.35938477516174316, "input_args": {"n_estimators": "19.53737551755531", "eta": "0.08523105624369066", "max_depth": "10.813181884524237", "subsample": "0.9973773873201035", "colsample_bytree": "0.9085392166316497"}}
+{"duration": 1.5668628215789795, "input_args": {"n_estimators": "19.53737551755531", "eta": "0.08523105624369066", "max_depth": "10.813181884524237", "subsample": "0.9973773873201035", "colsample_bytree": "0.9085392166316497"}}

cachedir/joblib/run/estimator/f4424e7e031a773cea1548224ffc9bc5/metadata.json

@@ -0,0 +1 @@
+{"duration": 2.6762499809265137, "input_args": {"n_estimators": "78.05929830372413", "eta": "0.26819361491123006", "max_depth": "8.416776430272158", "subsample": "0.9282741702875538", "colsample_bytree": "0.8650884194092069"}}

cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/metadata.json

@@ -1 +1 @@
-{"duration": 1.8177359104156494, "input_args": {"n_estimators": "122.21742728992572", "eta": "0.06452090304204987", "max_depth": "11.197056874649611", "subsample": "0.941614515559209", "colsample_bytree": "0.8311989040672406"}}
+{"duration": 9.109298944473267, "input_args": {"n_estimators": "122.21742728992572", "eta": "0.06452090304204987", "max_depth": "11.197056874649611", "subsample": "0.941614515559209", "colsample_bytree": "0.8311989040672406"}}

cachedir/joblib/run/estimator/func_code.py

@@ -2,7 +2,7 @@
     @memory.cache
     def estimator(n_estimators, eta, max_depth, subsample, colsample_bytree):
         # initialize model
-        print('loopingIris')
+        print('loopingVehicle')
         n_estimators = int(n_estimators)
         max_depth = int(max_depth)
         model = XGBClassifier(n_estimators=n_estimators, eta=eta, max_depth=max_depth, subsample=subsample, colsample_bytree=colsample_bytree, n_jobs=-1, random_state=RANDOM_SEED, silent=True, verbosity = 0, use_label_encoder=False)