Retrain model with new version of MLConsole
Browse files- README.md +2 -2
- modelRun.json +640 -182
README.md
CHANGED
@@ -22,10 +22,10 @@ model-index:
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metrics:
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- type: mae
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name: Mean absolute error
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-
value:
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- type: loss
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name: Model loss
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value:
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---
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metrics:
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- type: mae
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name: Mean absolute error
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+
value: 15.908513069152832
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- type: loss
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name: Model loss
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+
value: 647.6045532226562
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---
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modelRun.json
CHANGED
@@ -2,7 +2,7 @@
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"id": 0,
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"name": "model #1",
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"modelConfig": {
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-
"_mlconsole_type": "
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"value": {
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"task": "regression",
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"optimizer": "adagrad",
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@@ -35,7 +35,7 @@
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"example_value_per_type": {
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"_mlconsole_type": "Map",
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"value": {
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-
"number":
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}
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},
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"unique_values": 52,
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@@ -77,7 +77,7 @@
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"example_value_per_type": {
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"_mlconsole_type": "Map",
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"value": {
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-
"number":
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}
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},
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"unique_values": 113,
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@@ -98,7 +98,7 @@
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"example_value_per_type": {
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"_mlconsole_type": "Map",
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"value": {
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-
"number":
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}
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},
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"unique_values": 422,
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@@ -120,7 +120,7 @@
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"example_value_per_type": {
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"_mlconsole_type": "Map",
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"value": {
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-
"number":
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}
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},
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"unique_values": 99,
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@@ -131,7 +131,7 @@
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"_mlconsole_type": "Map",
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"value": {
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"loss": {
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-
"_mlconsole_type": "
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"value": {
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"epochs": [
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0,
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"values": [
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]
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}
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},
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"mae": {
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-
"_mlconsole_type": "
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"value": {
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"epochs": [
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0,
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],
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"values": [
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]
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}
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}
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@@ -283,120 +375,27 @@
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"_mlconsole_type": "Map",
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"value": {
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"height_m": {
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"_mlconsole_type": "
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"value": {
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"
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"kept": false,
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"isDisposedInternal": false,
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"shape": [],
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"dtype": "float32",
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"size": 1,
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"strides": [],
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"dataId": {
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"id": 28
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},
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"id": 33,
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"rankType": "0",
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"scopeId": 7
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}
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},
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"mean": {
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"_mlconsole_type": "e",
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"value": {
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"kept": false,
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"isDisposedInternal": false,
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"shape": [],
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"dtype": "float32",
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"size": 1,
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"strides": [],
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"dataId": {
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"id": 30
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"id": 34,
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"rankType": "0",
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"scopeId": 8
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}
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},
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"speed": {
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"_mlconsole_type": "
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"value": {
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"kept": false,
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"isDisposedInternal": false,
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"shape": [],
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"dtype": "float32",
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"size": 1,
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"strides": [],
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"dataId": {
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"id": 53
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"id": 47,
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"rankType": "0",
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"scopeId": 20
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"mean": {
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"_mlconsole_type": "e",
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"value": {
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"kept": false,
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"isDisposedInternal": false,
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"shape": [],
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"dtype": "float32",
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"size": 1,
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"strides": [],
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"dataId": {
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"id": 55
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},
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"id": 48,
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"rankType": "0",
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"scopeId": 21
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}
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}
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}
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},
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"weight_kg": {
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"_mlconsole_type": "
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"value": {
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"
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"kept": false,
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"isDisposedInternal": false,
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"shape": [],
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"dtype": "float32",
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"size": 1,
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"strides": [],
|
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"dataId": {
|
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"id": 78
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},
|
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"id": 61,
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"rankType": "0",
|
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"scopeId": 33
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}
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},
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"mean": {
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"_mlconsole_type": "e",
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"value": {
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"kept": false,
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"isDisposedInternal": false,
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"shape": [],
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"dtype": "float32",
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"size": 1,
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"strides": [],
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"dataId": {
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"id": 80
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},
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"id": 62,
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"rankType": "0",
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"scopeId": 34
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}
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}
|
@@ -405,14 +404,473 @@
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"_mlconsole_type": "Map",
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"value": {
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"is_legendary": {
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"_mlconsole_type": "
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"value": {
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}
|
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|
2 |
"id": 0,
|
3 |
"name": "model #1",
|
4 |
"modelConfig": {
|
5 |
+
"_mlconsole_type": "ModelConfig",
|
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"value": {
|
7 |
"task": "regression",
|
8 |
"optimizer": "adagrad",
|
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|
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"example_value_per_type": {
|
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"_mlconsole_type": "Map",
|
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"value": {
|
38 |
+
"number": 1.6
|
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}
|
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},
|
41 |
"unique_values": 52,
|
|
|
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"example_value_per_type": {
|
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"_mlconsole_type": "Map",
|
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"value": {
|
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+
"number": 116
|
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}
|
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},
|
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"unique_values": 113,
|
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"example_value_per_type": {
|
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"_mlconsole_type": "Map",
|
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"value": {
|
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"number": 79.5
|
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}
|
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},
|
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"unique_values": 422,
|
|
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"example_value_per_type": {
|
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"_mlconsole_type": "Map",
|
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"value": {
|
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+
"number": 75
|
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}
|
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},
|
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"unique_values": 99,
|
|
|
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"_mlconsole_type": "Map",
|
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"value": {
|
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"loss": {
|
134 |
+
"_mlconsole_type": "MetricValues",
|
135 |
"value": {
|
136 |
"epochs": [
|
137 |
0,
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|
165 |
28,
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