Formatted JSON, just for diff purposes
Browse files- model.json +262 -1
- modelRun.json +418 -1
model.json
CHANGED
@@ -1 +1,262 @@
|
|
1 |
-
{
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"modelTopology": {
|
3 |
+
"class_name": "Model",
|
4 |
+
"config": {
|
5 |
+
"name": "model1",
|
6 |
+
"layers": [
|
7 |
+
{
|
8 |
+
"name": "input1",
|
9 |
+
"class_name": "InputLayer",
|
10 |
+
"config": {
|
11 |
+
"batch_input_shape": [
|
12 |
+
null,
|
13 |
+
5
|
14 |
+
],
|
15 |
+
"dtype": "float32",
|
16 |
+
"sparse": false,
|
17 |
+
"name": "input1"
|
18 |
+
},
|
19 |
+
"inbound_nodes": []
|
20 |
+
},
|
21 |
+
{
|
22 |
+
"name": "dense_Dense1",
|
23 |
+
"class_name": "Dense",
|
24 |
+
"config": {
|
25 |
+
"units": 64,
|
26 |
+
"activation": "linear",
|
27 |
+
"use_bias": true,
|
28 |
+
"kernel_initializer": {
|
29 |
+
"class_name": "VarianceScaling",
|
30 |
+
"config": {
|
31 |
+
"scale": 1,
|
32 |
+
"mode": "fan_avg",
|
33 |
+
"distribution": "normal",
|
34 |
+
"seed": null
|
35 |
+
}
|
36 |
+
},
|
37 |
+
"bias_initializer": {
|
38 |
+
"class_name": "Zeros",
|
39 |
+
"config": {}
|
40 |
+
},
|
41 |
+
"kernel_regularizer": {
|
42 |
+
"class_name": "L1L2",
|
43 |
+
"config": {
|
44 |
+
"l1": 0.001,
|
45 |
+
"l2": 0.001
|
46 |
+
}
|
47 |
+
},
|
48 |
+
"bias_regularizer": {
|
49 |
+
"class_name": "L1L2",
|
50 |
+
"config": {
|
51 |
+
"l1": 0.001,
|
52 |
+
"l2": 0.001
|
53 |
+
}
|
54 |
+
},
|
55 |
+
"activity_regularizer": null,
|
56 |
+
"kernel_constraint": null,
|
57 |
+
"bias_constraint": null,
|
58 |
+
"name": "dense_Dense1",
|
59 |
+
"trainable": true
|
60 |
+
},
|
61 |
+
"inbound_nodes": [
|
62 |
+
[
|
63 |
+
[
|
64 |
+
"input1",
|
65 |
+
0,
|
66 |
+
0,
|
67 |
+
{}
|
68 |
+
]
|
69 |
+
]
|
70 |
+
]
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"name": "batch_normalization_BatchNormalization1",
|
74 |
+
"class_name": "BatchNormalization",
|
75 |
+
"config": {
|
76 |
+
"axis": -1,
|
77 |
+
"momentum": 0.99,
|
78 |
+
"epsilon": 0.001,
|
79 |
+
"center": true,
|
80 |
+
"scale": true,
|
81 |
+
"beta_initializer": {
|
82 |
+
"class_name": "Zeros",
|
83 |
+
"config": {}
|
84 |
+
},
|
85 |
+
"gamma_initializer": {
|
86 |
+
"class_name": "Ones",
|
87 |
+
"config": {}
|
88 |
+
},
|
89 |
+
"moving_mean_initializer": {
|
90 |
+
"class_name": "Zeros",
|
91 |
+
"config": {}
|
92 |
+
},
|
93 |
+
"moving_variance_initializer": {
|
94 |
+
"class_name": "Ones",
|
95 |
+
"config": {}
|
96 |
+
},
|
97 |
+
"beta_regularizer": null,
|
98 |
+
"gamma_regularizer": null,
|
99 |
+
"beta_constraint": null,
|
100 |
+
"gamma_constraint": null,
|
101 |
+
"name": "batch_normalization_BatchNormalization1",
|
102 |
+
"trainable": true
|
103 |
+
},
|
104 |
+
"inbound_nodes": [
|
105 |
+
[
|
106 |
+
[
|
107 |
+
"dense_Dense1",
|
108 |
+
0,
|
109 |
+
0,
|
110 |
+
{}
|
111 |
+
]
|
112 |
+
]
|
113 |
+
]
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"name": "activation_Activation1",
|
117 |
+
"class_name": "Activation",
|
118 |
+
"config": {
|
119 |
+
"activation": "relu6",
|
120 |
+
"name": "activation_Activation1",
|
121 |
+
"trainable": true
|
122 |
+
},
|
123 |
+
"inbound_nodes": [
|
124 |
+
[
|
125 |
+
[
|
126 |
+
"batch_normalization_BatchNormalization1",
|
127 |
+
0,
|
128 |
+
0,
|
129 |
+
{}
|
130 |
+
]
|
131 |
+
]
|
132 |
+
]
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"name": "dense_Dense2",
|
136 |
+
"class_name": "Dense",
|
137 |
+
"config": {
|
138 |
+
"units": 1,
|
139 |
+
"activation": "linear",
|
140 |
+
"use_bias": true,
|
141 |
+
"kernel_initializer": {
|
142 |
+
"class_name": "VarianceScaling",
|
143 |
+
"config": {
|
144 |
+
"scale": 1,
|
145 |
+
"mode": "fan_avg",
|
146 |
+
"distribution": "normal",
|
147 |
+
"seed": null
|
148 |
+
}
|
149 |
+
},
|
150 |
+
"bias_initializer": {
|
151 |
+
"class_name": "Zeros",
|
152 |
+
"config": {}
|
153 |
+
},
|
154 |
+
"kernel_regularizer": null,
|
155 |
+
"bias_regularizer": null,
|
156 |
+
"activity_regularizer": null,
|
157 |
+
"kernel_constraint": null,
|
158 |
+
"bias_constraint": null,
|
159 |
+
"name": "dense_Dense2",
|
160 |
+
"trainable": true
|
161 |
+
},
|
162 |
+
"inbound_nodes": [
|
163 |
+
[
|
164 |
+
[
|
165 |
+
"activation_Activation1",
|
166 |
+
0,
|
167 |
+
0,
|
168 |
+
{}
|
169 |
+
]
|
170 |
+
]
|
171 |
+
]
|
172 |
+
}
|
173 |
+
],
|
174 |
+
"input_layers": [
|
175 |
+
[
|
176 |
+
"input1",
|
177 |
+
0,
|
178 |
+
0
|
179 |
+
]
|
180 |
+
],
|
181 |
+
"output_layers": [
|
182 |
+
[
|
183 |
+
"dense_Dense2",
|
184 |
+
0,
|
185 |
+
0
|
186 |
+
]
|
187 |
+
]
|
188 |
+
},
|
189 |
+
"keras_version": "tfjs-layers 3.12.0",
|
190 |
+
"backend": "tensor_flow.js"
|
191 |
+
},
|
192 |
+
"format": "layers-model",
|
193 |
+
"generatedBy": "TensorFlow.js tfjs-layers v3.12.0",
|
194 |
+
"convertedBy": null,
|
195 |
+
"weightsManifest": [
|
196 |
+
{
|
197 |
+
"paths": [
|
198 |
+
"./model.weights.bin"
|
199 |
+
],
|
200 |
+
"weights": [
|
201 |
+
{
|
202 |
+
"name": "dense_Dense1/kernel",
|
203 |
+
"shape": [
|
204 |
+
5,
|
205 |
+
64
|
206 |
+
],
|
207 |
+
"dtype": "float32"
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"name": "dense_Dense1/bias",
|
211 |
+
"shape": [
|
212 |
+
64
|
213 |
+
],
|
214 |
+
"dtype": "float32"
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"name": "batch_normalization_BatchNormalization1/gamma",
|
218 |
+
"shape": [
|
219 |
+
64
|
220 |
+
],
|
221 |
+
"dtype": "float32"
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"name": "batch_normalization_BatchNormalization1/beta",
|
225 |
+
"shape": [
|
226 |
+
64
|
227 |
+
],
|
228 |
+
"dtype": "float32"
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"name": "dense_Dense2/kernel",
|
232 |
+
"shape": [
|
233 |
+
64,
|
234 |
+
1
|
235 |
+
],
|
236 |
+
"dtype": "float32"
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"name": "dense_Dense2/bias",
|
240 |
+
"shape": [
|
241 |
+
1
|
242 |
+
],
|
243 |
+
"dtype": "float32"
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"name": "batch_normalization_BatchNormalization1/moving_mean",
|
247 |
+
"shape": [
|
248 |
+
64
|
249 |
+
],
|
250 |
+
"dtype": "float32"
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"name": "batch_normalization_BatchNormalization1/moving_variance",
|
254 |
+
"shape": [
|
255 |
+
64
|
256 |
+
],
|
257 |
+
"dtype": "float32"
|
258 |
+
}
|
259 |
+
]
|
260 |
+
}
|
261 |
+
]
|
262 |
+
}
|
modelRun.json
CHANGED
@@ -1 +1,418 @@
|
|
1 |
-
{
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"id": 0,
|
3 |
+
"name": "model #1",
|
4 |
+
"modelConfig": {
|
5 |
+
"_mlconsole_type": "e",
|
6 |
+
"value": {
|
7 |
+
"task": "regression",
|
8 |
+
"optimizer": "adagrad",
|
9 |
+
"learningRate": 0.04,
|
10 |
+
"hiddenLayers": 1,
|
11 |
+
"unitsPerLayer": 64,
|
12 |
+
"batchSize": 16,
|
13 |
+
"batchNorm": true,
|
14 |
+
"numEnsembles": 1,
|
15 |
+
"maxEpochs": 150,
|
16 |
+
"regularization": 0.001,
|
17 |
+
"earlyStopping": true,
|
18 |
+
"earlyStoppingSteps": 10
|
19 |
+
}
|
20 |
+
},
|
21 |
+
"status": 2,
|
22 |
+
"datasetName": "pokemon.csv",
|
23 |
+
"features": [
|
24 |
+
{
|
25 |
+
"name": "height_m",
|
26 |
+
"used": true,
|
27 |
+
"type": 0,
|
28 |
+
"statistics": {
|
29 |
+
"type_percentage": {
|
30 |
+
"_mlconsole_type": "Map",
|
31 |
+
"value": {
|
32 |
+
"number": 1
|
33 |
+
}
|
34 |
+
},
|
35 |
+
"example_value_per_type": {
|
36 |
+
"_mlconsole_type": "Map",
|
37 |
+
"value": {
|
38 |
+
"number": 0.5
|
39 |
+
}
|
40 |
+
},
|
41 |
+
"unique_values": 52,
|
42 |
+
"presence_percentage": 0.9750312109862672
|
43 |
+
}
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"name": "is_legendary",
|
47 |
+
"used": true,
|
48 |
+
"type": 1,
|
49 |
+
"statistics": {
|
50 |
+
"type_percentage": {
|
51 |
+
"_mlconsole_type": "Map",
|
52 |
+
"value": {
|
53 |
+
"number": 1
|
54 |
+
}
|
55 |
+
},
|
56 |
+
"example_value_per_type": {
|
57 |
+
"_mlconsole_type": "Map",
|
58 |
+
"value": {
|
59 |
+
"number": 0
|
60 |
+
}
|
61 |
+
},
|
62 |
+
"unique_values": 2,
|
63 |
+
"presence_percentage": 1
|
64 |
+
}
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"name": "speed",
|
68 |
+
"used": true,
|
69 |
+
"type": 0,
|
70 |
+
"statistics": {
|
71 |
+
"type_percentage": {
|
72 |
+
"_mlconsole_type": "Map",
|
73 |
+
"value": {
|
74 |
+
"number": 1
|
75 |
+
}
|
76 |
+
},
|
77 |
+
"example_value_per_type": {
|
78 |
+
"_mlconsole_type": "Map",
|
79 |
+
"value": {
|
80 |
+
"number": 55
|
81 |
+
}
|
82 |
+
},
|
83 |
+
"unique_values": 113,
|
84 |
+
"presence_percentage": 1
|
85 |
+
}
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"name": "weight_kg",
|
89 |
+
"used": true,
|
90 |
+
"type": 0,
|
91 |
+
"statistics": {
|
92 |
+
"type_percentage": {
|
93 |
+
"_mlconsole_type": "Map",
|
94 |
+
"value": {
|
95 |
+
"number": 1
|
96 |
+
}
|
97 |
+
},
|
98 |
+
"example_value_per_type": {
|
99 |
+
"_mlconsole_type": "Map",
|
100 |
+
"value": {
|
101 |
+
"number": 5.5
|
102 |
+
}
|
103 |
+
},
|
104 |
+
"unique_values": 422,
|
105 |
+
"presence_percentage": 0.9750312109862672
|
106 |
+
}
|
107 |
+
}
|
108 |
+
],
|
109 |
+
"label": {
|
110 |
+
"name": "hp",
|
111 |
+
"used": false,
|
112 |
+
"type": 0,
|
113 |
+
"statistics": {
|
114 |
+
"type_percentage": {
|
115 |
+
"_mlconsole_type": "Map",
|
116 |
+
"value": {
|
117 |
+
"number": 1
|
118 |
+
}
|
119 |
+
},
|
120 |
+
"example_value_per_type": {
|
121 |
+
"_mlconsole_type": "Map",
|
122 |
+
"value": {
|
123 |
+
"number": 62
|
124 |
+
}
|
125 |
+
},
|
126 |
+
"unique_values": 99,
|
127 |
+
"presence_percentage": 1
|
128 |
+
}
|
129 |
+
},
|
130 |
+
"metrics": {
|
131 |
+
"_mlconsole_type": "Map",
|
132 |
+
"value": {
|
133 |
+
"loss": {
|
134 |
+
"_mlconsole_type": "e",
|
135 |
+
"value": {
|
136 |
+
"epochs": [
|
137 |
+
0,
|
138 |
+
1,
|
139 |
+
2,
|
140 |
+
3,
|
141 |
+
4,
|
142 |
+
5,
|
143 |
+
6,
|
144 |
+
7,
|
145 |
+
8,
|
146 |
+
9,
|
147 |
+
10,
|
148 |
+
11,
|
149 |
+
12,
|
150 |
+
13,
|
151 |
+
14,
|
152 |
+
15,
|
153 |
+
16,
|
154 |
+
17,
|
155 |
+
18,
|
156 |
+
19,
|
157 |
+
20,
|
158 |
+
21,
|
159 |
+
22,
|
160 |
+
23,
|
161 |
+
24,
|
162 |
+
25,
|
163 |
+
26,
|
164 |
+
27,
|
165 |
+
28,
|
166 |
+
29,
|
167 |
+
30,
|
168 |
+
31
|
169 |
+
],
|
170 |
+
"values": [
|
171 |
+
3090.640869140625,
|
172 |
+
1578.345458984375,
|
173 |
+
909.5206909179688,
|
174 |
+
609.6575927734375,
|
175 |
+
534.9366455078125,
|
176 |
+
516.3690185546875,
|
177 |
+
501.1787109375,
|
178 |
+
498.6440124511719,
|
179 |
+
489.76129150390625,
|
180 |
+
490.90869140625,
|
181 |
+
482.5125427246094,
|
182 |
+
480.81494140625,
|
183 |
+
480.88714599609375,
|
184 |
+
477.308349609375,
|
185 |
+
474.2776794433594,
|
186 |
+
470.0498962402344,
|
187 |
+
469.5538635253906,
|
188 |
+
466.94976806640625,
|
189 |
+
465.8966369628906,
|
190 |
+
466.6153259277344,
|
191 |
+
458.729248046875,
|
192 |
+
450.9028015136719,
|
193 |
+
453.92291259765625,
|
194 |
+
455.5875244140625,
|
195 |
+
455.0916748046875,
|
196 |
+
452.4609375,
|
197 |
+
455.0310363769531,
|
198 |
+
454.8754577636719,
|
199 |
+
463.3952331542969,
|
200 |
+
459.8737487792969,
|
201 |
+
457.18505859375,
|
202 |
+
454.7302551269531
|
203 |
+
]
|
204 |
+
}
|
205 |
+
},
|
206 |
+
"mae": {
|
207 |
+
"_mlconsole_type": "e",
|
208 |
+
"value": {
|
209 |
+
"epochs": [
|
210 |
+
0,
|
211 |
+
1,
|
212 |
+
2,
|
213 |
+
3,
|
214 |
+
4,
|
215 |
+
5,
|
216 |
+
6,
|
217 |
+
7,
|
218 |
+
8,
|
219 |
+
9,
|
220 |
+
10,
|
221 |
+
11,
|
222 |
+
12,
|
223 |
+
13,
|
224 |
+
14,
|
225 |
+
15,
|
226 |
+
16,
|
227 |
+
17,
|
228 |
+
18,
|
229 |
+
19,
|
230 |
+
20,
|
231 |
+
21,
|
232 |
+
22,
|
233 |
+
23,
|
234 |
+
24,
|
235 |
+
25,
|
236 |
+
26,
|
237 |
+
27,
|
238 |
+
28,
|
239 |
+
29,
|
240 |
+
30,
|
241 |
+
31
|
242 |
+
],
|
243 |
+
"values": [
|
244 |
+
51.610877990722656,
|
245 |
+
34.11787033081055,
|
246 |
+
23.49457550048828,
|
247 |
+
18.198640823364258,
|
248 |
+
16.89244270324707,
|
249 |
+
16.702274322509766,
|
250 |
+
16.373241424560547,
|
251 |
+
16.33411407470703,
|
252 |
+
16.351337432861328,
|
253 |
+
16.22027015686035,
|
254 |
+
15.953168869018555,
|
255 |
+
15.891965866088867,
|
256 |
+
15.803117752075195,
|
257 |
+
15.82750415802002,
|
258 |
+
15.500202178955078,
|
259 |
+
15.606027603149414,
|
260 |
+
15.50359058380127,
|
261 |
+
15.377290725708008,
|
262 |
+
15.44459056854248,
|
263 |
+
15.339128494262695,
|
264 |
+
15.259275436401367,
|
265 |
+
15.179055213928223,
|
266 |
+
15.169782638549805,
|
267 |
+
15.141100883483887,
|
268 |
+
15.181106567382812,
|
269 |
+
15.13109302520752,
|
270 |
+
15.122254371643066,
|
271 |
+
15.096785545349121,
|
272 |
+
15.14068603515625,
|
273 |
+
15.09447193145752,
|
274 |
+
15.100677490234375,
|
275 |
+
14.992874145507812
|
276 |
+
]
|
277 |
+
}
|
278 |
+
}
|
279 |
+
}
|
280 |
+
},
|
281 |
+
"labelEncoder": null,
|
282 |
+
"scalers": {
|
283 |
+
"_mlconsole_type": "Map",
|
284 |
+
"value": {
|
285 |
+
"height_m": {
|
286 |
+
"_mlconsole_type": "e",
|
287 |
+
"value": {
|
288 |
+
"std": {
|
289 |
+
"_mlconsole_type": "e",
|
290 |
+
"value": {
|
291 |
+
"kept": false,
|
292 |
+
"isDisposedInternal": false,
|
293 |
+
"shape": [],
|
294 |
+
"dtype": "float32",
|
295 |
+
"size": 1,
|
296 |
+
"strides": [],
|
297 |
+
"dataId": {
|
298 |
+
"id": 28
|
299 |
+
},
|
300 |
+
"id": 33,
|
301 |
+
"rankType": "0",
|
302 |
+
"scopeId": 7
|
303 |
+
}
|
304 |
+
},
|
305 |
+
"mean": {
|
306 |
+
"_mlconsole_type": "e",
|
307 |
+
"value": {
|
308 |
+
"kept": false,
|
309 |
+
"isDisposedInternal": false,
|
310 |
+
"shape": [],
|
311 |
+
"dtype": "float32",
|
312 |
+
"size": 1,
|
313 |
+
"strides": [],
|
314 |
+
"dataId": {
|
315 |
+
"id": 30
|
316 |
+
},
|
317 |
+
"id": 34,
|
318 |
+
"rankType": "0",
|
319 |
+
"scopeId": 8
|
320 |
+
}
|
321 |
+
}
|
322 |
+
}
|
323 |
+
},
|
324 |
+
"speed": {
|
325 |
+
"_mlconsole_type": "e",
|
326 |
+
"value": {
|
327 |
+
"std": {
|
328 |
+
"_mlconsole_type": "e",
|
329 |
+
"value": {
|
330 |
+
"kept": false,
|
331 |
+
"isDisposedInternal": false,
|
332 |
+
"shape": [],
|
333 |
+
"dtype": "float32",
|
334 |
+
"size": 1,
|
335 |
+
"strides": [],
|
336 |
+
"dataId": {
|
337 |
+
"id": 53
|
338 |
+
},
|
339 |
+
"id": 47,
|
340 |
+
"rankType": "0",
|
341 |
+
"scopeId": 20
|
342 |
+
}
|
343 |
+
},
|
344 |
+
"mean": {
|
345 |
+
"_mlconsole_type": "e",
|
346 |
+
"value": {
|
347 |
+
"kept": false,
|
348 |
+
"isDisposedInternal": false,
|
349 |
+
"shape": [],
|
350 |
+
"dtype": "float32",
|
351 |
+
"size": 1,
|
352 |
+
"strides": [],
|
353 |
+
"dataId": {
|
354 |
+
"id": 55
|
355 |
+
},
|
356 |
+
"id": 48,
|
357 |
+
"rankType": "0",
|
358 |
+
"scopeId": 21
|
359 |
+
}
|
360 |
+
}
|
361 |
+
}
|
362 |
+
},
|
363 |
+
"weight_kg": {
|
364 |
+
"_mlconsole_type": "e",
|
365 |
+
"value": {
|
366 |
+
"std": {
|
367 |
+
"_mlconsole_type": "e",
|
368 |
+
"value": {
|
369 |
+
"kept": false,
|
370 |
+
"isDisposedInternal": false,
|
371 |
+
"shape": [],
|
372 |
+
"dtype": "float32",
|
373 |
+
"size": 1,
|
374 |
+
"strides": [],
|
375 |
+
"dataId": {
|
376 |
+
"id": 78
|
377 |
+
},
|
378 |
+
"id": 61,
|
379 |
+
"rankType": "0",
|
380 |
+
"scopeId": 33
|
381 |
+
}
|
382 |
+
},
|
383 |
+
"mean": {
|
384 |
+
"_mlconsole_type": "e",
|
385 |
+
"value": {
|
386 |
+
"kept": false,
|
387 |
+
"isDisposedInternal": false,
|
388 |
+
"shape": [],
|
389 |
+
"dtype": "float32",
|
390 |
+
"size": 1,
|
391 |
+
"strides": [],
|
392 |
+
"dataId": {
|
393 |
+
"id": 80
|
394 |
+
},
|
395 |
+
"id": 62,
|
396 |
+
"rankType": "0",
|
397 |
+
"scopeId": 34
|
398 |
+
}
|
399 |
+
}
|
400 |
+
}
|
401 |
+
}
|
402 |
+
}
|
403 |
+
},
|
404 |
+
"encoders": {
|
405 |
+
"_mlconsole_type": "Map",
|
406 |
+
"value": {
|
407 |
+
"is_legendary": {
|
408 |
+
"_mlconsole_type": "e",
|
409 |
+
"value": {
|
410 |
+
"label": [
|
411 |
+
0,
|
412 |
+
1
|
413 |
+
]
|
414 |
+
}
|
415 |
+
}
|
416 |
+
}
|
417 |
+
}
|
418 |
+
}
|