mint.json 3.75 KB
Newer Older
chenzk's avatar
v1.0  
chenzk committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
{
  "$schema": "https://mintlify.com/schema.json",
  "name": "Nixtla",
  "logo": {
    "light": "/light.png",
    "dark": "/dark.png"
  },
  "favicon": "/favicon.svg",
  "colors": {
    "primary": "#0E0E0E",
    "light": "#FAFAFA",
    "dark": "#0E0E0E",
    "anchors": {
      "from": "#2AD0CA",
      "to": "#0E00F8"
    }
  },
  "topbarCtaButton": {
    "type": "github",
    "url": "https://github.com/Nixtla/neuralforecast"
  },
  "topAnchor": {
    "name": "NeuralForecast",
    "icon": "brain-circuit"
  },
  "navigation": [
    {
      "group": "",
      "pages": ["index.html"]
    },
    {
      "group": "Getting Started",
      "pages": [
        "examples/installation.html",
        "examples/getting_started.html",
        "examples/data_format.html",
        "examples/exogenous_variables.html",
        "examples/time_series_scaling.html",
        "examples/automatic_hyperparameter_tuning.html",
        "examples/cross_validation_tutorial.html",
        "examples/predictinsample.html",
        "examples/save_load_models.html",
        "examples/getting_started_complete.html",
        "examples/neuralforecast_map.html",
        "examples/how_to_add_models.html",
        "examples/mlflow_and_neuralforecast.html"
      ]
    },
    {
      "group": "Tutorials",
      "pages": [
        "examples/signal_decomposition.html",
        "examples/uncertaintyintervals.html",
        "examples/longhorizon_probabilistic.html",
        "examples/longhorizon_with_transformers.html",
        "examples/intermittentdata.html",
        "examples/robust_regression.html",
        "examples/electricitypeakforecasting.html",
        "examples/hierarchicalnetworks.html",
        "examples/transfer_learning.html",
        "examples/temporal_classifiers.html",
        "examples/predictive_maintenance.html",
        "examples/statsmlneuralmethods.html"
      ]
    },
    {
      "group": "",
      "pages": ["examples/models_intro"]
    },
    {
      "group": "API Reference",
      "pages": [
        "core.html",
        "models.html",
        {
          "group": "Models' Documentation",
          "pages": [
            {
              "group": "A. RNN-Based",
              "pages": [
                "models.rnn.html",
                "models.gru.html",
                "models.lstm.html",
                "models.dilated_rnn.html",
                "models.tcn.html",
                "models.deepar.html"
              ]
            },
            {
              "group": "B. MLP-Based",
              "pages": [
                "models.mlp.html",
                "models.nhits.html",
                "models.nbeats.html",
                "models.nbeatsx.html"
              ]
            },
            {
              "group": "C. Transformer-Based",
              "pages": [
                "models.tft.html",
                "models.vanillatransformer.html",
                "models.informer.html",
                "models.autoformer.html",
                "models.patchtst.html"
              ]
            },
            {
              "group": "D. CNN-Based",
              "pages": ["models.timesnet.html"]
            },
            {
              "group": "E. Multivariate",
              "pages": ["models.hint.html", "models.stemgnn.html"]
            }
          ]
        },
        {
          "group": "Train/Evaluation",
          "pages": ["losses.pytorch.html", "losses.numpy.html"]
        },
        {
          "group": "Common Components",
          "pages": [
            "common.base_auto.html",
            "common.base_recurrent.html",
            "common.base_windows.html",
            "common.scalers.html",
            "common.modules.html"
          ]
        },
        {
          "group": "Utils",
          "pages": ["tsdataset.html", "utils.html"]
        }
      ]
    }
  ]
}