fix(frontend): update ModelInfoResponse types to match backend structure
- Update TypeScript types to match flat backend response structure - Remove nested model_info and metrics objects - Remove label_config, use labels array and per_class_metrics array - Update all component references to use new structure - Generate default colors for prediction labels in CandleChart - Fix TypeScript type errors for nullable model_version - Remove accuracy/F1 metrics display (not in new response)
This commit is contained in:
Marko Djordjevic
parent
aa81d4f3d0
commit
5a7c901980
95 changed files with 326 additions and 63 deletions
2
next-env.d.ts
vendored
2
next-env.d.ts
vendored
|
|
@ -1,6 +1,6 @@
|
|||
/// <reference types="next" />
|
||||
/// <reference types="next/image-types/global" />
|
||||
import "./.next/dev/types/routes.d.ts";
|
||||
import "./.next/types/routes.d.ts";
|
||||
|
||||
// NOTE: This file should not be edited
|
||||
// see https://nextjs.org/docs/app/api-reference/config/typescript for more information.
|
||||
|
|
|
|||
|
|
@ -0,0 +1,8 @@
|
|||
precision recall f1-score support
|
||||
|
||||
Bearish Engulfing 0.8065 1.0000 0.8929 25
|
||||
Bullish Engulfing 1.0000 0.8125 0.8966 32
|
||||
|
||||
accuracy 0.8947 57
|
||||
macro avg 0.9032 0.9062 0.8947 57
|
||||
weighted avg 0.9151 0.8947 0.8949 57
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 55 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 79 KiB |
|
|
@ -0,0 +1,97 @@
|
|||
data:
|
||||
annotations_path: data/annotations/export.json
|
||||
enriched_path: data/enriched/features.csv
|
||||
labeled_path: data/labeled/dataset.csv
|
||||
raw_path: data/raw/OHLCV.csv
|
||||
stages:
|
||||
annotation_ingestion:
|
||||
context_padding: 20
|
||||
enabled: true
|
||||
label_encoding: window
|
||||
merge_strategy: human_priority
|
||||
min_confidence: 1
|
||||
programmatic_labels:
|
||||
enabled: true
|
||||
talib_patterns:
|
||||
- CDLENGULFING
|
||||
- CDLHAMMER
|
||||
- CDLINVERTEDHAMMER
|
||||
- CDLSHOOTINGSTAR
|
||||
- CDLDOJI
|
||||
- CDLDOJISTAR
|
||||
- CDLMORNINGSTAR
|
||||
- CDLEVENINGSTAR
|
||||
- CDLHARAMI
|
||||
- CDLPIERCING
|
||||
- CDLDARKCLOUDCOVER
|
||||
- CDL3WHITESOLDIERS
|
||||
- CDL3BLACKCROWS
|
||||
window_size: 30
|
||||
feature_engineering:
|
||||
candle_features: true
|
||||
custom_features: []
|
||||
enabled: true
|
||||
talib_indicators:
|
||||
- name: RSI
|
||||
params:
|
||||
timeperiod: 14
|
||||
- name: EMA
|
||||
params:
|
||||
timeperiod: 20
|
||||
- name: EMA
|
||||
params:
|
||||
timeperiod: 50
|
||||
- name: MACD
|
||||
params:
|
||||
fastperiod: 12
|
||||
signalperiod: 9
|
||||
slowperiod: 26
|
||||
- name: BBANDS
|
||||
params:
|
||||
nbdevdn: 2
|
||||
nbdevup: 2
|
||||
timeperiod: 20
|
||||
- name: ATR
|
||||
params:
|
||||
timeperiod: 14
|
||||
- name: ADX
|
||||
params:
|
||||
timeperiod: 14
|
||||
- name: CCI
|
||||
params:
|
||||
timeperiod: 14
|
||||
- name: MFI
|
||||
params:
|
||||
timeperiod: 14
|
||||
- name: STOCH
|
||||
params:
|
||||
fastk_period: 14
|
||||
slowd_period: 3
|
||||
slowk_period: 3
|
||||
inference:
|
||||
batch_size: 1000
|
||||
enabled: true
|
||||
local_model_path: models/best_model.pkl
|
||||
mlflow_model_name: candlestick_pattern_v1
|
||||
mlflow_model_stage: Production
|
||||
model_source: local
|
||||
use_training_config: true
|
||||
training:
|
||||
class_weights: balanced
|
||||
enabled: true
|
||||
hyperparameters:
|
||||
max_depth: 15
|
||||
min_samples_leaf: 2
|
||||
min_samples_split: 5
|
||||
n_estimators: 200
|
||||
n_jobs: -1
|
||||
random_state: 42
|
||||
mlflow:
|
||||
experiment_name: candlestick_patterns
|
||||
log_artifacts: true
|
||||
register_model: false
|
||||
tracking_uri: http://localhost:5000
|
||||
model_type: random_forest
|
||||
split_method: temporal
|
||||
test_split: 0.2
|
||||
validation_split: 0.1
|
||||
|
|
@ -0,0 +1,14 @@
|
|||
artifact_uri: file:///home/homoludens/projekti/bitcon/candle_annotator/services/ml/mlruns/358560345319124639/509970efc3e0494ba3c2fbd7dd24d438/artifacts
|
||||
end_time: 1771187605319
|
||||
entry_point_name: ''
|
||||
experiment_id: '358560345319124639'
|
||||
lifecycle_stage: active
|
||||
run_id: 509970efc3e0494ba3c2fbd7dd24d438
|
||||
run_name: painted-doe-188
|
||||
source_name: ''
|
||||
source_type: 4
|
||||
source_version: ''
|
||||
start_time: 1771187595858
|
||||
status: 3
|
||||
tags: []
|
||||
user_id: homoludens
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597069 0.8947368421052632 0
|
||||
1771187597069 0.8947368421052632 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597121 0.8928571428571429 0
|
||||
1771187597121 0.8928571428571429 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597155 0.896551724137931 0
|
||||
1771187597155 0.896551724137931 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597081 0.8947044334975369 0
|
||||
1771187597081 0.8947044334975369 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597191 0.0 0
|
||||
1771187597191 0.0 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597090 0.8949312937516204 0
|
||||
1771187597090 0.8949312937516204 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597104 0.8064516129032258 0
|
||||
1771187597104 0.8064516129032258 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597133 1.0 0
|
||||
1771187597133 1.0 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597166 0.0 0
|
||||
1771187597166 0.0 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597113 1.0 0
|
||||
1771187597113 1.0 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597145 0.8125 0
|
||||
1771187597145 0.8125 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187597176 0.0 0
|
||||
1771187597176 0.0 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187596947 1.0 0
|
||||
1771187596947 1.0 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187596958 1.0 0
|
||||
1771187596958 1.0 0
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
1771187596967 1.0 0
|
||||
1771187596967 1.0 0
|
||||
|
|
@ -0,0 +1,6 @@
|
|||
destination_id: m-cf12ffc008e047e1a37f58efe209422c
|
||||
destination_type: MODEL_OUTPUT
|
||||
source_id: m-cf12ffc008e047e1a37f58efe209422c
|
||||
source_type: RUN_OUTPUT
|
||||
step: 0
|
||||
tags: {}
|
||||
|
|
@ -0,0 +1 @@
|
|||
balanced
|
||||
|
|
@ -0,0 +1 @@
|
|||
15
|
||||
|
|
@ -0,0 +1 @@
|
|||
2
|
||||
|
|
@ -0,0 +1 @@
|
|||
5
|
||||
|
|
@ -0,0 +1 @@
|
|||
random_forest
|
||||
|
|
@ -0,0 +1 @@
|
|||
3
|
||||
|
|
@ -0,0 +1 @@
|
|||
200
|
||||
|
|
@ -0,0 +1 @@
|
|||
2820
|
||||
|
|
@ -0,0 +1 @@
|
|||
-1
|
||||
|
|
@ -0,0 +1 @@
|
|||
57
|
||||
|
|
@ -0,0 +1 @@
|
|||
207
|
||||
|
|
@ -0,0 +1 @@
|
|||
22
|
||||
|
|
@ -0,0 +1 @@
|
|||
42
|
||||
|
|
@ -0,0 +1 @@
|
|||
temporal
|
||||
|
|
@ -0,0 +1 @@
|
|||
0.2
|
||||
|
|
@ -0,0 +1 @@
|
|||
121
|
||||
|
|
@ -0,0 +1 @@
|
|||
84
|
||||
|
|
@ -0,0 +1 @@
|
|||
2
|
||||
|
|
@ -0,0 +1 @@
|
|||
0.1
|
||||
|
|
@ -0,0 +1 @@
|
|||
painted-doe-188
|
||||
|
|
@ -0,0 +1 @@
|
|||
aa81d4f3d0dcb9c58799d7bf63fd8fe61006bdce
|
||||
|
|
@ -0,0 +1 @@
|
|||
pipeline.py
|
||||
|
|
@ -0,0 +1 @@
|
|||
LOCAL
|
||||
|
|
@ -0,0 +1 @@
|
|||
homoludens
|
||||
|
|
@ -0,0 +1,23 @@
|
|||
artifact_path: file:///home/homoludens/projekti/bitcon/candle_annotator/services/ml/mlruns/358560345319124639/models/m-cf12ffc008e047e1a37f58efe209422c/artifacts
|
||||
flavors:
|
||||
python_function:
|
||||
env:
|
||||
conda: conda.yaml
|
||||
virtualenv: python_env.yaml
|
||||
loader_module: mlflow.sklearn
|
||||
model_path: model.pkl
|
||||
predict_fn: predict
|
||||
python_version: 3.13.5
|
||||
sklearn:
|
||||
code: null
|
||||
pickled_model: model.pkl
|
||||
serialization_format: cloudpickle
|
||||
sklearn_version: 1.8.0
|
||||
skops_trusted_types: null
|
||||
mlflow_version: 3.9.0
|
||||
model_id: m-cf12ffc008e047e1a37f58efe209422c
|
||||
model_size_bytes: 793682
|
||||
model_uuid: m-cf12ffc008e047e1a37f58efe209422c
|
||||
prompts: null
|
||||
run_id: 509970efc3e0494ba3c2fbd7dd24d438
|
||||
utc_time_created: '2026-02-15 20:33:18.754593'
|
||||
|
|
@ -0,0 +1,15 @@
|
|||
channels:
|
||||
- conda-forge
|
||||
dependencies:
|
||||
- python=3.13.5
|
||||
- pip
|
||||
- pip:
|
||||
- mlflow==3.9.0
|
||||
- cloudpickle==3.1.2
|
||||
- numpy==2.4.2
|
||||
- pandas==2.3.3
|
||||
- psutil==7.2.2
|
||||
- pyarrow==22.0.0
|
||||
- scikit-learn==1.8.0
|
||||
- scipy==1.17.0
|
||||
name: mlflow-env
|
||||
Binary file not shown.
|
|
@ -0,0 +1,7 @@
|
|||
python: 3.13.5
|
||||
build_dependencies:
|
||||
- pip
|
||||
- setuptools==82.0.0
|
||||
- wheel
|
||||
dependencies:
|
||||
- -r requirements.txt
|
||||
|
|
@ -0,0 +1,8 @@
|
|||
mlflow==3.9.0
|
||||
cloudpickle==3.1.2
|
||||
numpy==2.4.2
|
||||
pandas==2.3.3
|
||||
psutil==7.2.2
|
||||
pyarrow==22.0.0
|
||||
scikit-learn==1.8.0
|
||||
scipy==1.17.0
|
||||
|
|
@ -0,0 +1,10 @@
|
|||
artifact_location: file:///home/homoludens/projekti/bitcon/candle_annotator/services/ml/mlruns/358560345319124639/models/m-cf12ffc008e047e1a37f58efe209422c/artifacts
|
||||
creation_timestamp: 1771187598541
|
||||
experiment_id: '358560345319124639'
|
||||
last_updated_timestamp: 1771187605161
|
||||
model_id: m-cf12ffc008e047e1a37f58efe209422c
|
||||
model_type: ''
|
||||
name: model
|
||||
source_run_id: 509970efc3e0494ba3c2fbd7dd24d438
|
||||
status: 2
|
||||
status_message: null
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597069 0.8947368421052632 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597121 0.8928571428571429 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597155 0.896551724137931 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597081 0.8947044334975369 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597191 0.0 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597090 0.8949312937516204 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597104 0.8064516129032258 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597133 1.0 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597166 0.0 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597113 1.0 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597145 0.8125 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187597176 0.0 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187596947 1.0 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187596958 1.0 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
1771187596967 1.0 0 509970efc3e0494ba3c2fbd7dd24d438
|
||||
|
|
@ -0,0 +1 @@
|
|||
balanced
|
||||
|
|
@ -0,0 +1 @@
|
|||
15
|
||||
|
|
@ -0,0 +1 @@
|
|||
2
|
||||
|
|
@ -0,0 +1 @@
|
|||
5
|
||||
|
|
@ -0,0 +1 @@
|
|||
random_forest
|
||||
|
|
@ -0,0 +1 @@
|
|||
3
|
||||
|
|
@ -0,0 +1 @@
|
|||
200
|
||||
|
|
@ -0,0 +1 @@
|
|||
2820
|
||||
|
|
@ -0,0 +1 @@
|
|||
-1
|
||||
|
|
@ -0,0 +1 @@
|
|||
57
|
||||
|
|
@ -0,0 +1 @@
|
|||
207
|
||||
|
|
@ -0,0 +1 @@
|
|||
22
|
||||
|
|
@ -0,0 +1 @@
|
|||
42
|
||||
|
|
@ -0,0 +1 @@
|
|||
temporal
|
||||
|
|
@ -0,0 +1 @@
|
|||
0.2
|
||||
|
|
@ -0,0 +1 @@
|
|||
121
|
||||
|
|
@ -0,0 +1 @@
|
|||
84
|
||||
|
|
@ -0,0 +1 @@
|
|||
2
|
||||
|
|
@ -0,0 +1 @@
|
|||
0.1
|
||||
|
|
@ -0,0 +1 @@
|
|||
aa81d4f3d0dcb9c58799d7bf63fd8fe61006bdce
|
||||
|
|
@ -0,0 +1 @@
|
|||
pipeline.py
|
||||
|
|
@ -0,0 +1 @@
|
|||
LOCAL
|
||||
|
|
@ -0,0 +1 @@
|
|||
homoludens
|
||||
|
|
@ -0,0 +1 @@
|
|||
custom_model_development
|
||||
|
|
@ -365,7 +365,7 @@ export default function Home() {
|
|||
setPredictionState((prev) => ({
|
||||
...prev,
|
||||
modelInfo: data,
|
||||
selectedLabels: new Set(data.label_config.map((l) => l.name)),
|
||||
selectedLabels: new Set(data.labels),
|
||||
error: null,
|
||||
}));
|
||||
return data;
|
||||
|
|
@ -382,9 +382,9 @@ export default function Home() {
|
|||
}, []);
|
||||
|
||||
// Generate cache key from chart, timerange, and model version
|
||||
const generateCacheKey = useCallback((chartId: number | null, modelVersion?: string) => {
|
||||
const generateCacheKey = useCallback((chartId: number | null, modelVersion?: string | null) => {
|
||||
if (!chartId) return null;
|
||||
const version = modelVersion || predictionState.modelInfo?.model_info.model_version || 'unknown';
|
||||
const version = modelVersion || predictionState.modelInfo?.model_version || 'unknown';
|
||||
return `${chartId}_${version}`;
|
||||
}, [predictionState.modelInfo]);
|
||||
|
||||
|
|
@ -392,12 +392,12 @@ export default function Home() {
|
|||
const fetchPredictions = useCallback(async (candles: any[]) => {
|
||||
if (!activeChartId || candles.length === 0) return;
|
||||
|
||||
const cacheKey = generateCacheKey(activeChartId, predictionState.modelInfo?.model_info.model_version);
|
||||
const cacheKey = generateCacheKey(activeChartId, predictionState.modelInfo?.model_version);
|
||||
|
||||
// Check cache first
|
||||
if (cacheKey && predictionCacheRef.current.has(cacheKey)) {
|
||||
const cached = predictionCacheRef.current.get(cacheKey)!;
|
||||
if (cached.modelVersion === predictionState.modelInfo?.model_info.model_version) {
|
||||
if (cached.modelVersion === predictionState.modelInfo?.model_version) {
|
||||
setPredictionState((prev) => ({
|
||||
...prev,
|
||||
spans: cached.spans,
|
||||
|
|
@ -562,7 +562,7 @@ export default function Home() {
|
|||
// Clear prediction cache when model version changes
|
||||
useEffect(() => {
|
||||
if (predictionState.modelInfo) {
|
||||
const currentVersion = predictionState.modelInfo.model_info.model_version;
|
||||
const currentVersion = predictionState.modelInfo.model_version;
|
||||
// Clear cache entries with different model versions
|
||||
const newCache = new Map();
|
||||
for (const [key, value] of predictionCacheRef.current.entries()) {
|
||||
|
|
@ -572,7 +572,7 @@ export default function Home() {
|
|||
}
|
||||
predictionCacheRef.current = newCache;
|
||||
}
|
||||
}, [predictionState.modelInfo?.model_info.model_version]);
|
||||
}, [predictionState.modelInfo?.model_version]);
|
||||
|
||||
// Health polling - check model status every 30 seconds when offline
|
||||
useEffect(() => {
|
||||
|
|
|
|||
|
|
@ -374,10 +374,21 @@ const CandleChart = forwardRef<CandleChartHandle, CandleChartProps>(
|
|||
}
|
||||
|
||||
// Build a label-to-color map from modelInfo
|
||||
// Generate colors for labels since backend no longer provides them
|
||||
const labelColorMap: Record<string, string> = {};
|
||||
if (modelInfo?.label_config) {
|
||||
modelInfo.label_config.forEach((lc) => {
|
||||
labelColorMap[lc.name] = lc.color;
|
||||
if (modelInfo?.labels) {
|
||||
const predefinedColors = [
|
||||
'#3b82f6', // blue
|
||||
'#ef4444', // red
|
||||
'#10b981', // green
|
||||
'#f59e0b', // amber
|
||||
'#8b5cf6', // violet
|
||||
'#ec4899', // pink
|
||||
'#06b6d4', // cyan
|
||||
'#f97316', // orange
|
||||
];
|
||||
modelInfo.labels.forEach((label, index) => {
|
||||
labelColorMap[label] = predefinedColors[index % predefinedColors.length];
|
||||
});
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -9,7 +9,7 @@ interface PredictionPanelProps {
|
|||
onFetchBatchPredictions: () => void;
|
||||
onConfidenceChange: (threshold: number) => void;
|
||||
onToggleLabelSelection: (label: string) => void;
|
||||
predictionSummary?: PredictionSummary;
|
||||
predictionSummary: PredictionSummary | null;
|
||||
isModelOnline: boolean;
|
||||
showOnlyDisagreements?: boolean;
|
||||
onToggleShowOnlyDisagreements?: () => void;
|
||||
|
|
@ -77,23 +77,15 @@ export default function PredictionPanel({
|
|||
<div className="mb-3 p-2 bg-muted/50 rounded text-xs">
|
||||
<div className="flex justify-between">
|
||||
<span className="text-muted-foreground">Model:</span>
|
||||
<span className="font-mono text-foreground">{modelInfo.model_info.model_name}</span>
|
||||
<span className="font-mono text-foreground">{modelInfo.model_name}</span>
|
||||
</div>
|
||||
<div className="flex justify-between">
|
||||
<span className="text-muted-foreground">Version:</span>
|
||||
<span className="font-mono text-foreground">{modelInfo.model_info.model_version}</span>
|
||||
<span className="font-mono text-foreground">{modelInfo.model_version || 'N/A'}</span>
|
||||
</div>
|
||||
<div className="flex justify-between">
|
||||
<span className="text-muted-foreground">Type:</span>
|
||||
<span className="text-foreground">{modelInfo.model_info.model_type}</span>
|
||||
</div>
|
||||
<div className="flex justify-between mt-1 pt-1 border-t border-border">
|
||||
<span className="text-muted-foreground">Accuracy:</span>
|
||||
<span className="text-foreground">{(modelInfo.metrics.accuracy * 100).toFixed(1)}%</span>
|
||||
</div>
|
||||
<div className="flex justify-between">
|
||||
<span className="text-muted-foreground">F1 (macro):</span>
|
||||
<span className="text-foreground">{(modelInfo.metrics.f1_macro * 100).toFixed(1)}%</span>
|
||||
<span className="text-foreground">{modelInfo.model_type}</span>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
|
@ -144,26 +136,22 @@ export default function PredictionPanel({
|
|||
<div className="mb-3">
|
||||
<label className="text-xs text-muted-foreground mb-2 block">Filter by Label</label>
|
||||
<div className="space-y-1 max-h-32 overflow-y-auto">
|
||||
{modelInfo.label_config.map((labelConfig) => {
|
||||
const metrics = modelInfo.metrics.per_class[labelConfig.name];
|
||||
const isSelected = selectedLabels.has(labelConfig.name);
|
||||
{modelInfo.labels.map((label) => {
|
||||
const metrics = modelInfo.per_class_metrics.find((m) => m.label === label);
|
||||
const isSelected = selectedLabels.has(label);
|
||||
|
||||
return (
|
||||
<label
|
||||
key={labelConfig.name}
|
||||
key={label}
|
||||
className="flex items-center gap-2 p-1 rounded hover:bg-muted/50 cursor-pointer"
|
||||
>
|
||||
<input
|
||||
type="checkbox"
|
||||
checked={isSelected}
|
||||
onChange={() => onToggleLabelSelection(labelConfig.name)}
|
||||
onChange={() => onToggleLabelSelection(label)}
|
||||
className="w-3 h-3"
|
||||
/>
|
||||
<div
|
||||
className="w-3 h-3 rounded"
|
||||
style={{ backgroundColor: labelConfig.color }}
|
||||
/>
|
||||
<span className="text-xs text-foreground flex-1">{labelConfig.name}</span>
|
||||
<span className="text-xs text-foreground flex-1">{label}</span>
|
||||
{metrics && (
|
||||
<span className="text-xs text-muted-foreground font-mono">
|
||||
F1: {(metrics.f1_score * 100).toFixed(0)}%
|
||||
|
|
|
|||
|
|
@ -16,40 +16,23 @@ export interface PerCandlePrediction {
|
|||
confidence: number;
|
||||
}
|
||||
|
||||
export interface ModelInfo {
|
||||
model_name: string;
|
||||
model_version: string;
|
||||
model_type: string;
|
||||
experiment_name: string;
|
||||
run_id: string;
|
||||
trained_at: string;
|
||||
feature_count: number;
|
||||
label_names: string[];
|
||||
}
|
||||
|
||||
export interface PerClassMetrics {
|
||||
[label: string]: {
|
||||
label: string;
|
||||
precision: number;
|
||||
recall: number;
|
||||
f1_score: number;
|
||||
support: number;
|
||||
};
|
||||
}
|
||||
|
||||
export interface ModelMetrics {
|
||||
accuracy: number;
|
||||
f1_macro: number;
|
||||
f1_weighted: number;
|
||||
per_class: PerClassMetrics;
|
||||
}
|
||||
|
||||
export interface ModelInfoResponse {
|
||||
model_info: ModelInfo;
|
||||
metrics: ModelMetrics;
|
||||
label_config: {
|
||||
name: string;
|
||||
color: string;
|
||||
}[];
|
||||
model_name: string;
|
||||
model_version: string | null;
|
||||
model_type: string;
|
||||
trained_at: string | null;
|
||||
dataset_version: string | null;
|
||||
feature_engineering_enabled: boolean;
|
||||
labels: string[];
|
||||
per_class_metrics: PerClassMetrics[];
|
||||
}
|
||||
|
||||
export interface PredictRequest {
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue