"Fossies" - the Fresh Open Source Software Archive  

Source code changes of the file "notebooks/saturating_forecasts.ipynb" between
prophet-1.1.tar.gz and prophet-1.1.1.tar.gz

About: Prophet is a tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

saturating_forecasts.ipynb  (prophet-1.1)	:	saturating_forecasts.ipynb  (prophet-1.1.1)
skipping to change at line 13		skipping to change at line 13
{		{
"cell_type": "code",		"cell_type": "code",
"execution_count": 1,		"execution_count": 1,
"metadata": {		"metadata": {
"block_hidden": true		"block_hidden": true
},		},
"outputs": [],		"outputs": [],
"source": [		"source": [
"%load_ext rpy2.ipython\n",		"%load_ext rpy2.ipython\n",
"%matplotlib inline\n",		"%matplotlib inline\n",
		"\n",
"from prophet import Prophet\n",		"from prophet import Prophet\n",
"import pandas as pd\n",		"import pandas as pd\n",
"import logging\n",		"import logging\n",
"logging.getLogger('prophet').setLevel(logging.ERROR)\n",
"import warnings\n",		"import warnings\n",
		"\n",
		"logging.getLogger('prophet').setLevel(logging.ERROR)\n",
"warnings.filterwarnings(\"ignore\")"		"warnings.filterwarnings(\"ignore\")"
]		]
},		},
{		{
"cell_type": "code",		"cell_type": "code",
"execution_count": 2,		"execution_count": 2,
"metadata": {		"metadata": {
"block_hidden": true		"block_hidden": true
},		},
"outputs": [		"outputs": [
skipping to change at line 62		skipping to change at line 64
"Prophet allows you to make forecasts using a [logistic growth](https://en.w ikipedia.org/wiki/Logistic_function) trend model, with a specified carrying capa city. We illustrate this with the log number of page visits to the [R (programmi ng language)](https://en.wikipedia.org/wiki/R_%28programming_language%29) page o n Wikipedia:"		"Prophet allows you to make forecasts using a [logistic growth](https://en.w ikipedia.org/wiki/Logistic_function) trend model, with a specified carrying capa city. We illustrate this with the log number of page visits to the [R (programmi ng language)](https://en.wikipedia.org/wiki/R_%28programming_language%29) page o n Wikipedia:"
]		]
},		},
{		{
"cell_type": "code",		"cell_type": "code",
"execution_count": 3,		"execution_count": 3,
"metadata": {},		"metadata": {},
"outputs": [],		"outputs": [],
"source": [		"source": [
"%%R\n",		"%%R\n",
"df <- read.csv('../examples/example_wp_log_R.csv')"		"df <- read.csv('https://raw.githubusercontent.com/facebook/prophet/main/exa mples/example_wp_log_peyton_manning.csv')"
]		]
},		},
{		{
"cell_type": "code",		"cell_type": "code",
"execution_count": 2,		"execution_count": 2,
"metadata": {},		"metadata": {},
"outputs": [],		"outputs": [],
"source": [		"source": [
"df = pd.read_csv('../examples/example_wp_log_R.csv')"		"df = pd.read_csv('https://raw.githubusercontent.com/facebook/prophet/main/e xamples/example_wp_log_peyton_manning.csv')"
]		]
},		},
{		{
"cell_type": "markdown",		"cell_type": "markdown",
"metadata": {},		"metadata": {},
"source": [		"source": [
"We must specify the carrying capacity in a column `cap`. Here we will assum e a particular value, but this would usually be set using data or expertise abou t the market size."		"We must specify the carrying capacity in a column `cap`. Here we will assum e a particular value, but this would usually be set using data or expertise abou t the market size."
]		]
},		},
{		{
skipping to change at line 297		skipping to change at line 299
{		{
"cell_type": "markdown",		"cell_type": "markdown",
"metadata": {},		"metadata": {},
"source": [		"source": [
"To use a logistic growth trend with a saturating minimum, a maximum capacit y must also be specified."		"To use a logistic growth trend with a saturating minimum, a maximum capacit y must also be specified."
]		]
}		}
],		],
"metadata": {		"metadata": {
"kernelspec": {		"kernelspec": {
"display_name": "Python 3",		"display_name": "Python 3 (ipykernel)",
"language": "python",		"language": "python",
"name": "python3"		"name": "python3"
},		},
"language_info": {		"language_info": {
"codemirror_mode": {		"codemirror_mode": {
"name": "ipython",		"name": "ipython",
"version": 3		"version": 3
},		},
"file_extension": ".py",		"file_extension": ".py",
"mimetype": "text/x-python",		"mimetype": "text/x-python",
"name": "python",		"name": "python",
"nbconvert_exporter": "python",		"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",		"pygments_lexer": "ipython3",
"version": "3.8.3"		"version": "3.8.10"
}		}
},		},
"nbformat": 4,		"nbformat": 4,
"nbformat_minor": 1		"nbformat_minor": 4
}		}
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