Antonio d'Enrico, called Tanzio da Varalloor simply il Tanzio  c. Some of his paintings acquire the influence of Tenebrist styles and morbid thematic characteristic of the followers of Caravaggio and also of many Lombard painters, including his somewhat gruesome David with Goliath His animated and crowded Battle of Sennacherib —28 for the Basilica of San Gaudenzio  reflects the influence of his work in the Sacri Monti of Piedmont and Lombardypainting scenographic diorama scenes.
His brother Melchiorre was also a painter, studied in Milan, and painted a last judgement for the parish of Riva. From Wikipedia, the free encyclopedia. Categories : 16th-century births s deaths People from the Province of Vercelli 16th-century Italian painters Italian male painters 17th-century Italian painters Milanese painters Mannerist painters.
Namespaces Article Talk. Views Read Edit View history. Help Community portal Recent changes Upload file. Download as PDF Printable version. Wikimedia Commons. Wikimedia Commons has media related to Tanzio da Varallo.Nacque a Riale, frazione di Alagna, in Valsesia, da una famiglia di maestri costruttori e di scultori, i D'Enrico.
Dal nome di suo padre Giovanni "Anz", nel dialetto tedesco parlato ad Alagna deriverebbe la deformazione patronimica "d'Anz", ovvero "figlio di Giovanni" che, italializzandosi, porterebbe al soprannome "Tanzio", con il quale egli fu da tutti chiamato dopo il suo trasferimento a Varallo.
Le fonti documentali nulla ci dicono a proposito dell'apprendistato e dei pittorici esordi valsesiani di Tanzio, lasciando le porte aperte a diverse congetture. Pochissime sono le opere assegnate dagli storici dell'arte al suo catalogo datate in questi quindici anni trascorsi prima a Roma, poi a Napoli e in terra di Abruzzo.
Si possono citare una Pentecoste i cui frammenti sono oggi conservati presso il Museo di Capodimonte di Napoli, la pala con la Circoncisione che si trova a Fara San Martino CH e quella con la Madonna dell'incendio sedato  ] a Pescocostanzo AQ e la Madonna con Bambino nella sacrestia della Parrocchiale di Colledimezzo sempre in provincia di Chieti.
Giovanni Testori sottolinea in questi termini la difficile sintesi che Tanzio - a partire dalla pala di Domodossola - dovette continuamente inseguire:. L'impegno al Sacro Monte fu straordinario. Risulta allora quasi inspiegabile come, nel periodo che intercorre tra i primi lavori al Monte e la prestigiosa allogazione degli affreschi per la cappella dell'Angelo Custode nella basilica di San Gaudenzio a Novarale commesse, pur numerose, ricevute da Tanzio riguardino, in modo quasi esclusivo, parrocchie secondarie, disperse nei territori tra Piemonte e Lombardia.
Per il resto, il catalogo di Tanzio nel periodo indicato si compone interamente di quadri devozionali destinati a pievi sperdute, in paesi che si fa fatica a trovare su una carta stradale. Nonostante fossero destinate a committenze di secondo piano, Tanzio profuse, per ciascuna di esse, un grande impegno, una accuratezza di esecuzione artigianale e un "pathos" narrativo che non conosce cali di tensione. Tra di esse devono essere citate almeno la tela del tenero incontro di Giacobbe e Rachele alla Galleria Sabaudail San Sebastiano curato da Sant'Irene  alla National Gallery di Washington e i due Davide e con la testa di Golia presenti nella pinacoteca di Varallo.
Il flagello del morbo portava la gente ad interrogarsi sulle ragioni della tragedia, ritenuta un castigo divino, e poneva la urgenza - come ai tempi di san Carlo Borromeo rievocati dalla pala di Domodossola - della intercezione salvifica delle sante reliquie e dei santi protettori.
La tradizione storiografica locale vuole che, negli ultimi anni, Tanzio vivesse a Varallo presso il convento francescano di Santa Maria delle Grazie. This entry is from Wikipedia, the leading user-contributed encyclopedia. It may not have been reviewed by professional editors see full disclaimer. Donate to Wikimedia. All translations of Tanzio da Varallo.
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Tanzio da Varallo
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Tell me about your new friends. What are they like. What do they like to do.
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So for starters, tell me about what happened tonight. How do you feel about it.Through the status field in the topic model you can determine when the topic model has been fully processed and ready to be used to create predictions. Thus when retrieving a topicmodel, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve.
To update a topic model, you need to PUT an object containing the fields that you want to update to the topic model' s base URL. Once you delete a topic model, it is permanently deleted. If you try to delete a topic model a second time, or a topic model that does not exist, you will receive a "404 not found" response.
However, if you try to delete a topic model that is being used at the moment, then BigML. To list all the topic models, you can use the topicmodel base URL. By default, only the 20 most recent topic models will be returned.
You can get your list of topic models directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your topic models. Time Series Last Updated: Friday, 2017-10-27 12:23 A time series model is a supervised learning method to forecast the future values of a field based on its previously observed values.
It is used to analyze time based data when historical patterns can explain the future behavior such as stock prices, sales forecasting, website traffic, production and inventory analysis, weather forecasting, etc.
A time series model needs to be trained with time series data, i. BigML implements exponential smoothing to train time series models. Time series data is modeled as a level component and it can optionally include a trend (damped or not damped) and a seasonality components as explained below:Forecast equation Level equation Forecast equation Level equation Trend equation Forecast equation Level equation Damped trend equation Forecast equation Level equation Trend equation Seasonality equation The different components can have variations, e.
As a result of combining the different variations for each component, several models can be trained for a given objective field.
Note that BigML excludes certain combinations for numerical stability reasons such as additive errors with multiplicative trends or multiplicative error and trend with additive seasonality. BigML computes four different performance measures to select the best model for a given objective field.
You can create a time series model selecting one or several fields from your dataset to use as objective fields to forecast their future values. You can also list all of your time series.
This can be used to change the names of the fields in the time series with respect to the original names in the dataset or to tell BigML that certain fields should be preferred. Example: 100 name optional String,default is dataset's name The name you want to give to the new time series. The type of the field must be numerical.
Non-numeric fields will be ignored, and if not present, the right-most valid field in the dataset will be used. The period needs to be set taking into account the time interval of your instances and the seasonal frequency. For example, for monthly data and annual seasonality, the period should be 12, for daily data and weekly seasonality, the period should be 7.
It can take values from 0 to 60. If the period is set to 1, there is no seasonality. If the period is 0, or not given, BigML will automatically learn the period in your data. The range of successive instances to build the time series.