add models info

results/models_info/Moirai_base/config.json

@@ -0,0 +1,8 @@
+{
+    "model": "Moirai_1.1_base",
+    "tmp_name": "moirai_1.1_base",
+    "model_type": "pretrained",
+    "model_dtype": "float32",
+    "model_link": "https://huggingface.co/Salesforce/moirai-1.1-R-base",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/moirai.ipynb"
+}

results/models_info/Moirai_large/config.json

@@ -0,0 +1,8 @@
+{
+    "model": "Moirai_1.1_large",
+    "tmp_name": "moirai_1.1_large",
+    "model_type": "pretrained",
+    "model_dtype": "float32",
+    "model_link": "https://huggingface.co/Salesforce/moirai-1.1-R-large",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/moirai.ipynb"
+}

results/models_info/Moirai_small/config.json

@@ -0,0 +1,8 @@
+{
+    "model": "Moirai_1.1_small",
+    "tmp_name": "moirai_1.1_small",
+    "model_type": "pretrained",
+    "model_dtype": "float32",
+    "model_link": "https://huggingface.co/Salesforce/moirai-1.1-R-small",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/moirai.ipynb"
+}

results/models_info/Timer/config.json

@@ -0,0 +1,8 @@
+{
+    "model": "Timer",
+    "tmp_name": "timer",
+    "model_type": "pretrained",
+    "model_dtype": "float32",
+    "model_link": "https://drive.google.com/drive/folders/15oaiAl4OO5gFqZMJD2lOtX2fxHbpgcU8",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/timer.ipynb"
+}

results/models_info/auto_arima/config.json

@@ -0,0 +1,7 @@
+{
+    "model": "Auto_Arima",
+    "tmp_name": "autoarima",
+    "model_type": "statistical",
+    "model_dtype": "float32",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/autoarima.ipynb"
+}

results/models_info/auto_ets/config.json

@@ -0,0 +1,7 @@
+{
+    "model": "Auto_ETS",
+    "tmp_name": "autoets",
+    "model_type": "statistical",
+    "model_dtype": "float32",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/autoets.ipynb"
+}

results/models_info/auto_theta/config.json

@@ -0,0 +1,7 @@
+{
+    "model": "Auto_Theta",
+    "tmp_name": "autotheta",
+    "model_type": "statistical",
+    "model_dtype": "float32",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/autotheta.ipynb"
+}

results/models_info/chronos_bolt_base/config.json

@@ -0,0 +1,8 @@
+{
+    "model": "chronos_bolt_base",
+    "tmp_name": "chronos_bolt_base",
+    "model_type": "pretrained",
+    "model_dtype": "float32",
+    "model_link": "https://huggingface.co/amazon/chronos-bolt-base",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/chronos.ipynb"
+}

results/models_info/chronos_bolt_small/config.json

@@ -0,0 +1,8 @@
+{
+    "model": "chronos_bolt_small",
+    "tmp_name": "chronos_bolt_small",
+    "model_type": "pretrained",
+    "model_dtype": "float32",
+    "model_link": "https://huggingface.co/amazon/chronos-bolt-small",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/chronos.ipynb"
+}

results/models_info/naive/config.json

@@ -0,0 +1,5 @@
+{
+    "model": "Naive",
+    "model_type": "statistical",
+    "model_dtype": "float32"
+}

results/models_info/seasonal_naive/config.json

@@ -0,0 +1,7 @@
+{
+    "model": "Seasonal_Naive",
+    "tmp_name": "seasonalnaive",
+    "model_type": "statistical",
+    "model_dtype": "float32",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/seasonalnaive.ipynb"
+}

results/models_info/time-moe/config.json

@@ -0,0 +1,8 @@
+{
+    "model": "TimeMoE",
+    "tmp_name": "time-moe",
+    "model_type": "pretrained",
+    "model_dtype": "float32",
+    "model_link": "https://huggingface.co/Maple728/TimeMoE-50M",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/time-moe.ipynb"
+}

results/models_info/timesfm_2_0_500m/config.json

@@ -0,0 +1,8 @@
+{
+    "model": "timesfm_2_0_500m",
+    "tmp_name": "timesfm_2_0_500m",
+    "model_type": "pretrained",
+    "model_dtype": "float32",
+    "model_link": "https://huggingface.co/google/timesfm-2.0-500m-jax",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/timesfm.ipynb"
+}

results/models_info/toto/config.json

@@ -0,0 +1,8 @@
+{
+    "model": "Toto_Open_Base_1.0",
+    "tmp_name": "Toto-Open-Base-1.0",
+    "model_type": "pretrained",
+    "model_dtype": "float32",
+    "model_link": "https://huggingface.co/Datadog/Toto-Open-Base-1.0",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/toto.ipynb"
+}

results/models_info/visionts/config.json

@@ -0,0 +1,8 @@
+{
+    "model": "VisionTS",
+    "tmp_name": "visionts",
+    "model_type": "pretrained",
+    "model_dtype": "float32",
+    "model_link": "https://github.com/Keytoyze/VisionTS",
+    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/visonts.ipynb"
+}